Zebbern Kali MCP

by zebbern

Overview Schema Related Servers Score Discussions

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Server Quality Checklist

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Latest release: v1.0.0
Disambiguation4/5
Most tools have clearly distinct purposes, but some overlap exists (e.g., multiple subdomain enumeration tools like tools_amass, tools_subfinder, tools_assetfinder; several API fuzzing tools). Descriptions help differentiate, but an agent might occasionally misselect.
Naming Consistency5/5
Tool names follow a consistent underscore-separated lowercase pattern with clear category prefixes (ad_, api_, callback_, etc.). Verbs and nouns are used predictably, making the surface easy to navigate.
Tool Count4/5
128 tools is high but appropriate for a comprehensive penetration testing server. Coverage spans AD, web APIs, exploits, pivoting, etc. Some redundancy could be trimmed, but overall scope justifies the count.
Completeness4/5
Major pentesting workflows (recon, exploitation, post-exploitation, pivoting, web testing, AD attacks) are covered. Minor gaps include lack of dedicated database tools beyond SQLMap and limited file transfer options, but core operations are present.
Average 3.6/5 across 128 of 128 tools scored. Lowest: 2.4/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits. It only states 'Execute Fierce for DNS reconnaissance' without mentioning permissions, side effects, rate limits, or output format. This is insufficient for an agent to understand tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise with two short lines, front-loading the purpose. However, it omits critical information, making it too sparse for a tool with no annotations. Conciseness alone does not compensate for lack of completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations and output schema details (though context says it exists), the description fails to provide enough context for the tool's inputs, outputs, or behavior. It is incomplete for a DNS reconnaissance tool with sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It adds minimal semantics by explaining 'domain' as 'Target domain' and 'additional_args' as 'Extra fierce arguments', but both are vague and do not clarify valid values or syntax beyond the schema titles.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it executes the Fierce tool for DNS reconnaissance, specifying the verb and resource. However, it does not differentiate from sibling DNS reconnaissance tools like tools_amass or tools_subfinder, which may cause ambiguity in tool selection.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, nor any conditions for its use. The description lacks explicit usage context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for behavioral disclosure. It mentions execution and fetching from Wayback Machine but omits details on side effects (e.g., network activity, rate limits), output format, or error handling, leaving significant gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a clear purpose lead-in, but the arg list is sparse and lacks structure. It could benefit from separating argument descriptions more clearly, but overall it's not verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool executes an external command with an output schema, the description should cover prerequisites, expected behavior, and potential errors. It fails to provide sufficient context for reliable agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, so the description must compensate. It adds minimal value: 'domain: Target domain' essentially repeats the schema title, and 'additional_args: Extra arguments' is vague. No format, examples, or constraints are provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool executes waybackurls to fetch URLs from the Wayback Machine, specifying the verb and resource. While it distinguishes itself from sibling tools by naming the specific tool and data source, it does not explicitly contrast with similar tools like tools_assetfinder.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives like tools_amass or tools_subfinder. The description lacks context for appropriate usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the burden of behavioral disclosure. It does not describe side effects, output format, or whether the tool is safe. Merely stating 'execute byp4xx' is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with no unnecessary words. However, it sacrifices informativeness for brevity in some areas.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the presence of an output schema, the description does not explain what the output represents. It lacks details about the tool's operation and expected results, making it incomplete for a 3-parameter tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema coverage, the description must compensate. It adds minimal meaning: 'url: Target URL returning 403' and 'method: HTTP method'. This is only a slight improvement over the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it executes byp4xx for 403 bypass testing, which is specific and distinguishes it from generic tools like api_auth_bypass_test. However, it lacks explicit differentiation from siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives such as api_auth_bypass_test or other fuzzing tools. The description provides no context about prerequisites or scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must cover behavioral traits. It only mentions enumeration (implies read-only) but does not clarify if it modifies data, requires authentication (username/password are optional), or any rate limits. The behavior is underspecified. Score 2.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise but minimally structured. It uses bullet-like lines for parameters but lacks a clear flow. Could be improved with a brief sentence on what happens after enumeration. Score 3 for conciseness but with structural gaps.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Output schema exists but is not provided. Description does not mention what information is returned or any prerequisites. With 0% schema coverage, the description is incomplete. Score 2 due to lack of detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description must add meaning. It states target is IP/hostname, and username/password/domain are for authenticated enum. This adds basic semantics beyond the schema, but does not explain defaults or formatting. Score 3 for moderate value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (enumerate) and resource (SMB shares and information on target). The name and description differentiate it from sibling AD tools like ad_ldap_enum or ad_bloodhound_collect by specifying SMB enumeration. Score 4 for clear purpose but no explicit sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. No context about prerequisites, typical use cases, or situations where another tool (e.g., ad_ldap_enum) would be preferred. Score 2 for lacking usage recommendations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description must disclose behavioral traits. It merely states the action without any details about system effects, permissions required (e.g., root for TUN interface), background execution, or stopping the server. This is insufficient for safe invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and to the point, using a single sentence plus parameter list. It is front-loaded with the purpose. While minimal, it has no waste. However, the parameter list could be more integrated.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's role in pivoting, the description lacks context about its place in the workflow. It does not mention that it runs a proxy server, how it relates to sibling tools like pivot_add_pivot or pivot_stop_tunnel, or what the output schema provides. The agent is left guessing about usage patterns.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must add value. It specifies that 'interface' is a TUN interface name and 'port' is a listening port, providing defaults. However, it does not explain constraints (e.g., port range, interface existence) or how to use them effectively.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Start' and the resource 'Ligolo-ng proxy server for pivoting.' Among many pivot siblings (e.g., pivot_chisel_client, pivot_ssh_dynamic), this tool is specifically for starting a Ligolo-ng proxy, making its purpose distinct.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, cases where it should be used, or when not to use it. Without context, an agent cannot easily decide between this and other pivot tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must disclose behavioral traits. It only mentions the attack outcome without detailing side effects, OPSEC considerations, or network dependencies. Fails to compensate for missing annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is short and includes an arg list. No unnecessary words, but could be more structured (e.g., bullet points). Adequate but not exemplary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Output schema exists, so return values need not be detailed. However, for a complex attack tool, prerequisites, permission requirements, and success indicators are missing. The description is incomplete for reliable agent usage.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so description must explain parameters. Only target_user gets a brief explanation. Other parameters like dc_ip and password have no added meaning beyond names. Insufficient compensation for poor schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the action: 'Perform Kerberoasting attack to extract service ticket hashes.' This is a specific verb-resource pair and distinguishes from siblings like ad_asreproast and ad_password_spray.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when or when not to use this tool. Alternatives like ad_asreproast exist but are not mentioned. The argument list does not provide context for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only states that commands are executed, without mentioning authentication requirements, potential destructiveness, output behavior, or error handling. This is insufficient for a command execution tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, with a single sentence followed by a parameter list. It is front-loaded with the purpose. However, the parameter list could be better formatted (e.g., using a table or clearer typography) to improve readability.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the 6 parameters, no annotations, and the presence of sibling tools, the description is incomplete. It does not mention the output format, return values, error scenarios, or how to handle authentication (e.g., password vs hash). The output schema exists but is not described, leaving gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description lists all six parameters with brief descriptions, compensating for the 0% schema coverage. However, the descriptions are minimal (e.g., 'Username' for username, 'NTLM hash for pass-the-hash' for hashes) and do not add rich semantic meaning beyond the parameter names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes commands on a remote Windows host via PsExec (impacket). It is specific about the verb and resource. However, it does not distinguish from sibling tools like ad_wmiexec, which also executes commands remotely, so it lacks sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., ad_wmiexec, ad_secretsdump). No prerequisites or context for appropriate usage are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It only states the tool tests for auth bypass but does not describe side effects (e.g., multiple requests, traffic generation), authentication needs, or rate limits. The output schema exists but is not referenced or explained, leaving important behavioral traits unspecified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and structured with 'Args:' listing. The first sentence clearly states the purpose, and each parameter has a brief explanation. No extra fluff is present, making it efficient for quick reading.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (3 params, no schema descriptions, no annotations, and an output schema not explained), the description is incomplete. It does not describe the return value, how the test works procedurally, or what to expect as output. For a security testing tool, this missing context is a significant gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, but the description adds basic meaning: 'url: Target API endpoint', 'method: HTTP method', 'headers: Custom headers as key:value pairs'. This clarifies the parameter purposes beyond the schema's types and defaults, though it does not specify valid methods or header formatting details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb and resource: 'Test for authentication bypass vulnerabilities.' It specifies the tool's purpose and required inputs (URL, method, headers). However, it does not explicitly distinguish itself from sibling API fuzzing tools like api_ffuf_fuzz or api_fuzz_endpoint, relying on the name to hint at the specific vulnerability class.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lacks any guidance on when to use this tool versus alternatives. It does not mention prerequisites, when not to use it, or provide examples. Among many sibling API tools, the user has no basis to choose this one over others for a given scenario.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description does not disclose behavioral traits such as whether the tool runs tests, how results are returned, or error handling. The existence of an output schema is mentioned in context but not detailed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, consisting of one summary sentence and two parameter descriptions. It is concise with no fluff, though it could be more structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has an output schema and many sibling tools, the description is too sparse. It does not explain the outcome of running a collection, prerequisites, or any behavioral details, leaving the agent underinformed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds that 'collection' and 'environment' are file paths, which is not present in the input schema (which only has titles). Schema coverage is 0%, so this minimal clarification earns a baseline 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it runs a Postman/Newman collection against API endpoints, which distinguishes it from other API testing tools that focus on fuzzing or scanning. However, it could be more precise by explicitly mentioning Newman.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like api_kiterunner_scan or api_graphql_introspect. It only states what it does without context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only states the action but does not specify if the scanning is read-only, whether it sends traffic that could be considered intrusive, if authentication is needed, or what the output contains (despite having an output schema). This lack of transparency is a significant gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise: one sentence followed by a clear argument list. No unnecessary words. Front-loaded with the purpose. Efficient for an agent to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 3 parameters, no annotations, and an output schema not described, the description is incomplete. It doesn't explain what the scan does with the templates, what results look like, or any prerequisites (e.g., network access). The agent may need additional context to use it effectively, especially given the complexity of scanning.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description carries the full burden. It adds meaning by listing the parameters with brief explanations: 'url: Target URL', 'tags: Nuclei template tags (default: api)', 'severity: Filter by severity (critical, high, medium, low)'. It mentions the default for tags and acceptable values for severity, which is helpful but lacks details like URL format or tag examples.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Run Nuclei templates against API endpoints', specifying the verb (run) and resource (Nuclei templates on API endpoints). It is specific enough to distinguish from many sibling tools like api_ffuf_fuzz or api_auth_bypass_test, which focus on fuzzing or bypassing auth. However, it could be more explicit about being a vulnerability scanner.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. The description does not mention prerequisites, typical use cases, or situations where another tool would be preferable. With many API-focused sibling tools, explicit usage context is needed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions the input and basic return format but does not disclose expected input format details (e.g., XML vs raw text), size limits, error behaviors, or side effects. The description is too minimal to adequately inform an agent about behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with three sentences covering purpose, args, and returns. It is front-loaded but could benefit from a more structured format. No unnecessary information is present, so it earns its length.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (parsing nmap output and suggesting exploits), the description is incomplete. It lacks details on input format, example usage, error handling, and output structure. Although an output schema exists (not shown), the description does not provide enough context for an agent to reliably use the tool without additional knowledge.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'nmap_output' is described as 'Raw nmap scan output text', which adds basic meaning beyond the schema's lack of description. However, it does not specify the expected format, encoding, or constraints. With 0% schema description coverage, the description should provide more detail but falls short.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool analyzes nmap scan output and suggests exploits for discovered services. It uses a specific verb (analyze and suggest) and resource (nmap scan output). However, it does not differentiate from the sibling tool 'exploit_suggest_for_service', which likely has a similar purpose but different input.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you have nmap scan output and want exploit suggestions. However, there is no explicit guidance on when to use this tool versus alternatives like 'exploit_suggest_for_service'. It lacks exclusion criteria or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Discloses timeout default but omits behavioral details: whether command is blocking, stderr handling, error states (timeout, failed session), or if output is streaming or batched. Insufficient for a command execution tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Highly concise: one-line purpose, Args/Returns sections. No redundant information. Every sentence serves a purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and only 3 parameters, description lacks context on error handling, synchronous vs asynchronous nature, or relation to other exec tools (e.g., exec_stream). Does not confirm return format beyond 'Command output.' Output schema exists but is not referenced.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, requiring description to explain parameters. Lists three parameters with brief explanations (e.g., 'session_id: The SSH session ID'), adding some value but mostly restating parameter names. Timeout includes default, which is helpful. Does not provide format constraints or example values.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Execute a command in an active SSH session,' specifying verb and resource. It distinguishes from sibling session management tools (start/stop/upload) but does not differentiate from other command execution tools like msf_session_execute or reverse_shell_command.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or when-not-to-use guidance. Implies usage for active SSH sessions but does not mention prerequisites (e.g., session must be started) or alternatives among sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only says 'Execute Assetfinder' without disclosing what the tool does (e.g., runs a command line tool, returns subdomains), side effects, or output format. Behavioral details are missing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loaded with the purpose. It efficiently conveys the tool's function, though it could be slightly more detailed without losing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (runs an external tool) and the lack of output schema details and annotations, the description is incomplete. It does not explain what Assetfinder does, what the output looks like, or prerequisites.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage. The description adds brief meaning for 'domain' ('Target domain') and 'additional_args' ('Extra assetfinder arguments'), but the latter is vague. It provides some additional context beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Execute Assetfinder for asset discovery,' which is a specific verb and resource. It clearly indicates the tool runs Assetfinder for asset discovery, but it does not differentiate from sibling tools like tools_amass or tools_subfinder.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. Among many sibling tools with similar purposes (e.g., tools_amass, tools_subfinder), the description provides no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility. It only says 'Execute Enum4linux' and lists arguments, but does not disclose what the tool does in detail (e.g., it runs Enum4linux with flags, outputs results, may take time, requires no special permissions). This is minimal transparency for a tool that executes an external program.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise with only 5 lines, front-loading the purpose and argument summary. Every sentence is necessary. It could be more informative (e.g., mention output) but is not verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool that runs an external enumeration program, the description is lacking. There is no mention of output format (though an output schema exists but not seen), return values, error handling, or runtime behavior. It feels incomplete for an agent to correctly understand the tool's full capabilities.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds some meaning beyond the schema: 'target' is described as 'Target IP' (schema only has title 'Target'), and 'additional_args' as 'Enum4linux flags (default: -a for all)' which explains the default. However, schema coverage is 0% per context, so the description partially compensates but does not fully document all parameters (no validation or options).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Execute Enum4linux Windows/Samba enumeration tool,' which clearly identifies the tool as a specific enumeration tool for Windows/Samba. It distinguishes from sibling tools like ad_smb_enum or tools_nmap by naming the specific tool (Enum4linux), though it does not explicitly differentiate from other Enum4linux-related tools (none exist). The purpose is clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., ad_smb_enum, tools_nmap). No prerequisites or context (e.g., target must have SMB service) are provided. The description merely states the action without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only lists parameters and does not discuss execution behavior, potential impacts (e.g., network traffic, rate limiting), error handling, or the fact that Gobuster must be installed on Kali. This minimal transparency is insufficient for an agent to assess safety or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, starting with a single-sentence summary followed by a structured parameter list. No extraneous information is included, and the format is easy to scan. Minor improvement could remove the 'Args:' header for even tighter structure.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema (not shown), the description does not need to detail return values. However, it lacks context on tool prerequisites (Gobuster installation), mode-specific behavior, and differentiation from similar sibling tools. The description is adequate but leaves gaps that an agent would need to infer.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description provides brief explanations for each parameter in a structured list (e.g., 'extensions: File extensions to search for, comma-separated'), adding moderate value beyond the schema names. However, explanations are terse and some parameters like 'additional_args' lack clarity. Schema coverage is 0%, so the description partially compensates but could be more detailed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Execute Gobuster to find directories, DNS subdomains, or virtual hosts,' which clearly identifies the tool's purpose and distinguishes it from sibling tools like tools_amass for subdomain enumeration or tools_ffuf for fuzzing. However, it does not explicitly mention the available modes (dir, dns, vhost, fuzz) in the summary, relying on the parameter list.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool over alternatives such as tools_amass, tools_ffuf, or tools_nikto. The description lacks explicit context about the appropriate scenarios or prerequisites, leaving the agent to infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose any behavioral traits such as destructive actions, authentication requirements, or output format. The agent receives no insight into side effects or expected behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise, with a clear front-loaded purpose statement. No unnecessary words, but it could benefit from a more structured format (e.g., separate sections for usage and behavior).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 2 parameters and an output schema, the description lacks details on return values, execution context, or post-execution behavior. It does not leverage the output schema to inform the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning beyond the schema by clarifying that 'target' can be a domain or file, and 'additional_args' are extra subzy arguments. However, schema coverage is 0% and the descriptions are very brief, leaving some ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Execute Subzy for subdomain takeover detection.' Identifies the specific tool and its primary function, distinguishing it from sibling subdomain enumeration tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides no guidance on when to use this tool versus alternatives like tools_amass or tools_subfinder. No context about scenarios or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description must disclose behavioral traits. It only lists parameters and defaults but does not discuss risks (e.g., potential disruptive impact on targets), resource usage, or that the tool may perform intensive network operations. The description lacks behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, starting with a clear action statement and then listing parameters in a structured Args block. It is front-loaded and wastes no words, though the list is somewhat lengthy. Overall well-organized.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, the description should provide broader context (e.g., when Hydra is appropriate, what output to expect, potential side effects). It lacks completeness for a tool with many siblings and no additional structured guidance. The presence of an output schema is not leveraged.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% (no descriptions in schema), so the description carries full burden. It adds brief but meaningful explanations for all 10 parameters (e.g., 'target: Target IP or hostname', 'service: Service to attack (ssh, ftp, http-get, etc.)'), significantly enhancing understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute Hydra password cracking tool' with specific verb and resource. It distinguishes the tool as executing Hydra, but does not explicitly differentiate from closely related siblings like tools_john (also password cracking). Still, the purpose is clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. It does not mention scenarios, prerequisites, or when not to use it. Given many sibling tools for different cracking tasks, this is a significant gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits but only states 'Execute Subfinder' with no details on potential side effects, resource usage, or required network access. It does not mention that Subfinder is a passive tool or any other characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences followed by a simple args listing. It is front-loaded and to the point, though the args formatting could be more formal. No wasted sentences.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the existence of an output schema (not shown) and the tool's relative simplicity, the description is incomplete. It lacks context about execution time, required network access, or the passive nature of Subfinder. The output schema may cover return values, but behavioral context is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description's brief explanation of 'target: Target domain' and 'additional_args: Extra subfinder arguments' adds essential meaning. While brief, it clarifies the purpose of each parameter where the schema is silent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute Subfinder for subdomain enumeration.' This provides a specific verb and resource, making the tool's purpose evident. However, it does not differentiate from sibling subdomain enumeration tools like tools_amass or tools_subzy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description offers no guidance on when to use Subfinder over other subdomain enumeration tools or what prerequisites exist. It simply states what the tool does, without any context about alternatives or appropriate scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description does not disclose behavioral traits such as lockout risk, detection likelihood, authentication method (e.g., Kerberos or NTLM), or outcome handling. Minimal insight beyond args.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Compact with an Args list format, no unnecessary words. Slightly under-specified, but efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Password spraying is a sensitive operation; description does not mention rate limiting, lockout policies, or required userlist for success. Output schema exists but not shown. Incomplete for safe automated use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description adds meaning for all 5 parameters (e.g., 'Path to username list file on Kali', 'Delay between attempts in seconds'). However, lacks default behaviors or constraints (e.g., what happens if userlist is empty).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it performs a password spraying attack against AD accounts, using a specific verb and resource. This distinguishes it from sibling AD tools like ad_kerberoast or ad_asreproast.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Does not mention potential account lockout risks, required privileges, or that userlist is typically needed despite being optional in schema.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits. It only says 'fuzz,' which implies testing but lacks details on potential destructiveness, safety, or effects on the target.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a single sentence and a list of args, all front-loaded with no wasted content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 5 parameters and no schema descriptions, the description covers basic usage but omits output details, error handling, and broader context like when to use this over similar tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description provides one-line explanations for each parameter (e.g., 'url: Target API endpoint URL'), adding meaning beyond the schema with 0% coverage. However, descriptions are basic and lack depth.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Fuzz an API endpoint with various payloads,' which identifies the verb and resource. However, it does not distinguish from sibling tool api_ffuf_fuzz, which likely has a similar purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives like api_ffuf_fuzz, nor any prerequisites or restrictions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as auth requirements, rate limiting, request volume, or side effects. The agent is left uninformed about the tool's behavior beyond its function.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with no unnecessary sentences. It front-loads the purpose and efficiently lists parameters. Every sentence serves a clear function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema, the description lacks essential context for a fuzzing tool: no mention of request volume, potential destructive behavior, or required permissions. The description is too thin for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description adds significant meaning: url is the GraphQL endpoint URL, query is a specific query to fuzz (auto-generated if empty), and depth controls fuzzing depth (default 3). This adequately explains each parameter's purpose.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Fuzz a GraphQL endpoint for vulnerabilities,' which identifies the specific verb and resource. While it distinguishes from sibling api_graphql_introspect, it lacks more specific detail about the fuzzing approach.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like api_fuzz_endpoint or api_graphql_introspect. No prerequisites or usage context provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fails to disclose behavioral traits like whether the tool makes network requests, potential impact, or what constitutes 'detection'. It only states it returns 'WAF detection results' without detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and structured with Args/Returns sections, making it easy to parse. However, it could be more informative within the same length.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and an output schema (not shown), the description is minimally complete. However, it lacks information about behavior and typical results, which would help an agent use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The parameter 'url' has no schema description, and the description only states 'Target URL to test for WAF', which adds minimal meaning. It does not specify expected format (e.g., http://), or whether IPs are accepted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool detects Web Application Firewall (WAF) on a target URL, using a specific verb 'Detect' and resource 'WAF on target URL'. It is distinct from sibling fingerprinting tools like 'fingerprint_headers' and 'fingerprint_url' which focus on other aspects.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, such as other fingerprinting tools or other reconnaissance tools. There is no mention of prerequisites or context for best use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It does not mention that this tool creates a tunnel, runs in the background, or requires SSH connectivity. The side effects (starting a proxy on localhost, binding to a port) are implied but not explicit. The description only lists parameters without explaining the tool's operation or lifetime.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: one sentence for purpose and a list of parameter descriptions in Args format. It is front-loaded with the key verb-noun pair. No unnecessary text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, return values are documented elsewhere. However, the description does not explain how the SOCKS proxy is used after creation (e.g., to route traffic through the SSH server), nor does it mention concurrency or cleanup. It is minimally sufficient but lacks important operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description's parameter descriptions add value. Each parameter has a brief, functional explanation (e.g., 'SSH server to use as SOCKS proxy', 'Local SOCKS port'). However, the descriptions are minimal and do not clarify default behavior (e.g., that password is optional if key_file is provided). Score 4 would require more detail; 3 is adequate given the baseline.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action: 'Create an SSH dynamic SOCKS proxy.' The verb 'Create' and resource 'SSH dynamic SOCKS proxy' are specific. However, it does not differentiate from sibling tools like pivot_ssh_local or pivot_ssh_remote, leaving the agent to infer the difference from the name alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as pivot_ssh_local, pivot_ssh_remote, or pivot_chisel_client. The description lacks context for appropriate use cases or prerequisites (e.g., SSH access to a machine).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description does not disclose behavioral traits such as required state (active session), error handling, or side effects. The user is left guessing about implications.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and to the point, including Args and Returns sections. However, it could be more concise by omitting redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple but lacks context about preconditions, error scenarios, and what 'stop' entails. Given the output schema exists, return values are covered, but overall completeness is minimal.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description should add value but only repeats 'session_id: The session ID to stop', which adds minimal meaning beyond the schema's property title.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool stops a reverse shell session, using a specific verb and resource. This distinguishes it from sibling reverse shell tools like reverse_shell_command or reverse_shell_listener_start.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool, prerequisites, or alternatives. The description only states the action without context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavior. It only states the output format (base64) but omits details like error handling, file size limits, binary handling, or whether the session must be active. This leaves significant ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a clear opening sentence and a bullet list of arguments. Every sentence adds value, and the structure is front-loaded. However, the args list is redundant with the schema but is still helpful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and the presence of an output schema, the description covers the basic function. However, it misses essential operational context like session prerequisite, error messages, or binary vs. text handling, which is needed given no annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate. It adds minimal context by restating parameter names with brief explanations ('The SSH session ID', 'Path to the file on the remote host'), but does not elaborate on formats, constraints, or examples. Output schema exists but is not described.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Download file content from a remote host via SSH as base64.' It specifies the verb (download), the resource (file content), and the method (SSH as base64). This distinguishes it from siblings like 'ssh_session_command' or 'ssh_session_upload_content'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide guidance on when to use this tool versus alternatives. It lacks prerequisites (e.g., active session) and context about when download is preferable over other SSH session tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It mentions return format (base64) but omits error handling, permissions, or whether the operation is safe. Behavioral traits beyond semantics are minimally disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Purpose is stated in the first line, followed by structured Args and Returns. No extraneous text. Could be slightly more structured, but overall concise and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and an output schema, the description provides reasonable coverage: parameter meanings and return type. However, it lacks prerequisites (active session), error conditions, and method selection guidance, leaving gaps for a download tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage, but the description's Args section adds meaningful explanations for all 4 parameters (e.g., 'Path to file on the target', 'Transfer method (ssh, reverse_shell)'). This compensates well for the missing schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Download file content from a target via an active session' with specific verb and resource. However, it does not differentiate from sibling tools like ssh_session_download_content or reverse_shell_download_content, which have similar functionality.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives, prerequisites (active session existence), or method selection. The Args section implies parameters but lacks usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only states 'Execute httpx for HTTP probing' without detailing side effects, output format, or that it is a read-only operation. Minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and to the point, with a clear verb and argument list. It is efficient but could benefit from a slight structure improvement, such as separating the tool function from detailed args.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given there is an output schema, return values are not required. However, the description lacks context on when to use this tool among many siblings, and does not mention that httpx is a known tool. Adequate but could be more complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description defines the target parameter as 'Target URL, domain, or IP' and additional_args as 'Extra httpx arguments', adding meaning beyond the schema which has 0% coverage. This helps an agent understand parameter usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes httpx for HTTP probing, which conveys the specific verb and resource. It distinguishes itself from siblings like tools_nmap and tools_nikto by focusing on HTTP probing, though could be more specific about httpx's scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. Among many sibling probing tools, there is no indication of when httpx is appropriate compared to nmap, nikto, etc.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It fails to mention that sqlmap can be destructive, requires network access, or what the output format is. The description only lists parameters without explaining tool behavior or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the purpose and then lists parameters in a clear, structured block. Though somewhat lengthy, it is efficiently organized and each line adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (9 parameters, no annotations) and the presence of an output schema, the description lacks completeness. It does not explain behavioral aspects like destructiveness, return value format, or best practices, leaving gaps for safe and effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must compensate. It provides brief explanations for each parameter (e.g., 'Target URL with parameter(s)'), which adds meaning beyond the bare schema. However, the explanations are minimal and could be more detailed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Execute SQLmap SQL injection scanner,' which is a clear verb+resource combination. The tool's purpose is distinct from sibling tools like nmap or amass, making it easy for an agent to select it for SQL injection scanning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use sqlmap versus other SQL injection tools or under what conditions. It lacks context on prerequisites, when not to use it, or alternatives, leaving the agent without usage instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose behavioral traits such as potential downtime, authentication requirements, or side effects. The tool is likely non-destructive but this is not explicitly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with one line for the tool purpose and a list of parameters. It avoids unnecessary text, though the parameter list could be more structured (e.g., bullet points).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 6 parameters and an output schema exists, the description should provide more context such as typical usage, prerequisites (e.g., SSH access), or examples. It lacks completeness for an agent to determine correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds brief context to each parameter (e.g., target as hostname/IP, port default 22, scan_type as 'ssh1, ssh2'). With 0% schema description coverage, this provides minimal but essential semantics; however, it lacks details like allowed scan_type values beyond the example.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes ssh-audit to analyze SSH server security configuration. It uses a specific verb ('execute') and resource ('ssh-audit'), and distinguishes from sibling tools like tools_nmap or tools_sslscan by focusing on SSH audit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no mention of when not to use it. It simply lists parameters without contextual direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It does not disclose behavioral traits like required privileges, authentication mechanisms beyond mentioning password and hashes, or whether the operation is destructive. The presence of hashes implies pass-the-hash capability but is not explicitly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: one sentence plus a structured parameter list. Every line provides necessary information without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (remote command execution), the description omits critical context such as output handling, required permissions, and potential impacts. The existence of an output schema partially mitigates missing return value documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds brief semantics for each parameter (e.g., 'target: Target IP or hostname'), which partially compensates for the 0% schema coverage. However, details like format expectations or default behaviors are missing.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes commands on remote Windows hosts via WMI, which is a specific verb and resource. It distinguishes from siblings like ad_psexec by mentioning the underlying protocol.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives, nor are prerequisites or restrictions mentioned. The description only lists parameters without any usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It does not mention potential destructiveness (ffuf can be aggressive), rate limiting, or that it runs on a Kali server. The parameter 'mc' defaults to 200,301,302,403 but the description doesn't clarify impact.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, using a clear list format for parameters. It front-loads the main purpose in the first sentence. However, the list might be too terse, lacking example usage or more detailed context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is an output schema (not shown), so return values are covered. However, the description lacks context about prerequisites, potential side effects, or how the tool fits into a workflow. It is adequate but not comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must add meaning. It provides brief explanations for each parameter (e.g., 'Match HTTP status codes (comma-separated)' for mc). However, explanations are terse and incomplete (e.g., headers format not fully specified).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool uses ffuf for content discovery and parameter brute-forcing, with a specific example of URL format. It distinguishes itself from sibling fuzz tools like api_fuzz_endpoint and api_kiterunner_scan by naming ffuf explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus other fuzzing tools (e.g., api_fuzz_endpoint, api_kiterunner_scan) or under what conditions (e.g., target scope, authentication). It only lists arguments without context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description bears full burden. It implies a read operation but does not disclose if it requires authentication, modifies state, or has rate limits. Lacks behavioral details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: two sentences plus an args line. No redundant information. Front-loaded with purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With one parameter and an output schema, the description is minimally sufficient but lacks usage examples, authentication notes, or expected output details beyond what the output schema provides.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description only adds 'GraphQL endpoint URL' for the url parameter. No information on format, required scheme, or path expectations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the action (introspect), the resource (GraphQL endpoint), and the output (discover schema, types, and queries). It distinguishes from siblings like api_graphql_fuzz which focuses on fuzzing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives such as api_graphql_fuzz. Does not mention prerequisites, context, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must bear the full burden of behavioral disclosure. It only states 'Attempt to crack,' implying a potentially long-running or resource-intensive process, but fails to disclose any details about duration, success/failure outcomes, side effects, or required permissions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: two sentences plus a bulleted list of parameters. Every word adds value with no filler. The structure is front-loaded with the core purpose, followed only by necessary parameter details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (JWT cracking, wordlist dependency, potential runtime), the description is insufficient. It does not explain return values (while an output schema exists but is not shown), error handling, or when to expect success/failure. The sibling tools provide contrast but are not referenced.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, meaning the description is the sole source of parameter meaning. It adds 'The JWT token to crack' for token and 'Path to wordlist on the Kali server' for wordlist. While this provides basic context, it does not explain token format requirements, wordlist compatibility, or how the default wordlist is used.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool's purpose: 'Attempt to crack a JWT token's signing secret.' This is a clear verb+resource action. The sibling tool list includes api_jwt_analyze, which likely analyzes tokens without cracking, so this description effectively distinguishes itself.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives (e.g., api_jwt_analyze). There is no mention of prerequisites, such as needing a valid JWT token format or a wordlist file, nor any indication of typical use cases or contexts.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but provides minimal behavioral traits. It states it returns a list of suggested exploits but does not mention if the operation is read-only, has side effects, requires network access, or what happens on error (e.g., unknown service).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: three sentences covering purpose, arguments, and return value. No extraneous information; front-loads the main action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with 2 parameters and an output schema, the description is fairly complete. It explains the return type ('List of suggested exploits') and parameter formats. Could be improved by mentioning empty list handling or error scenarios, but still adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must add meaning. It provides examples for both parameters ('apache', 'openssh', 'vsftpd' for service; '2.3.4', '8.4p1' for version) and clarifies that version is optional. However, it does not specify constraints like case sensitivity or format beyond examples.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('exploit suggestions for a specific service'). It differentiates from sibling tools like 'exploit_search' and 'exploit_suggest_from_nmap' by focusing on a single service name with optional version. However, it does not explicitly compare with siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., 'exploit_search', 'exploit_suggest_from_nmap') or when not to use it. The description simply states what it does without context about prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only says 'List all generated payloads'. It fails to disclose key behaviors like whether it lists payloads for the current session, any limits, or sort order.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence with no wasted words. It is front-loaded and efficiently communicates the core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the existence of an output schema (context signal), the description need not explain return values. However, the description is minimal and lacks context about scope or filtering, which is a gap for a simple list tool among many siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, and schema coverage is 100%. The description adds no extra parameter information, but baseline for no params is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List all generated payloads' clearly states the verb (list) and resource (generated payloads). However, it does not differentiate from sibling tools like payload_generate or payload_one_liner, which could cause confusion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives such as payload_generate or payload_host_start. There is no mention of context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, and the description only says 'Add a pivot point,' implying a recording action. It does not disclose side effects (e.g., whether it modifies network config), permissions needed, or reversibility, which is insufficient for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is highly concise: a single-purpose line followed by a compact parameter list. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has an output schema (not detailed) and 5 parameters. The description explains the core function and parameters but lacks context on how the pivot point is used (e.g., for chaining) or what the output represents. Adequate but not comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description's Args section is the sole documentation. It provides brief but helpful descriptions for all five parameters (e.g., method lists options, subnet provides example). However, descriptions are terse (e.g., 'Additional notes' for notes) and could be more detailed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Add a pivot point for tracking network access chains,' which is a clear verb+resource. It distinguishes itself from sibling tools like pivot_list_pivots (listing) and pivot_chisel_client (specific tool use), though it lacks explicit differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives. With many sibling pivot tools (e.g., pivot_chisel_client, pivot_ssh_dynamic), the description should clarify that this is for recording pivots, not performing them, but it does not.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It only states 'create a port forward' but does not disclose key behaviors like background execution, persistence, or cleanup. This is insufficient for a tool that modifies network state.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, with a single sentence stating purpose followed by a clear list of arguments. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
An output schema exists but is not shown; description does not mention return behavior. While parameter coverage is decent, the tool lacks behavioral details about the port forward's lifecycle, which is critical for a network manipulation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the Args block in the description explains the meaning of each parameter (listen_port, target_host, target_port, protocol). This adds significant value beyond the schema's type-only definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a socat port forward with a specific verb and resource. However, it does not differentiate from sibling pivot tools like pivot_chisel_client or pivot_ssh_dynamic, which perform similar network forwarding tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives (e.g., chisel, SSH tunnels). No prerequisites or context for its use in a pivot scenario are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided; description only says 'Stop a specific tunnel' with no details on side effects, idempotency, or requirements. Does not add value beyond name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: one-line description plus arg definition. No unnecessary text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Output schema exists but description omits outcome, error handling, or behavioral context. Simple tool but still incomplete for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage; description explains 'tunnel_id: The tunnel ID to stop', adding meaning beyond the schema's title alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Stop a specific tunnel.' Distinguishes from sibling 'pivot_stop_all_tunnels' and other tunnel management tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like pivot_stop_all_tunnels, nor any prerequisites or context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It lacks details on behavioral traits like file overwriting, permissions, size limits, or side effects. The description is minimal beyond parameter names.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise with a clear purpose statement followed by parameter list. No unnecessary text, but could be slightly more structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 5 parameters and no annotations, the description covers parameter semantics but lacks context on prerequisites (e.g., active reverse shell session) and output format. Output schema exists, partially compensating for return value details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description must compensate. It provides brief explanations for each parameter (e.g., 'Base64 encoded content', 'Path where to save the file'), adding some value beyond the schema titles. However, missing details on valid encoding values or other methods.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('upload'), resource ('content'), and method ('via reverse shell'). It distinguishes from sibling tools like 'reverse_shell_download_content' which performs the opposite operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool vs alternatives. The sibling list includes many upload/download tools, but no comparative context is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description must carry the full burden of behavioral disclosure. It only states that it lists active sessions, but does not mention whether it requires authentication, what scope it covers (e.g., local machine only), or any side effects. The read-only nature is implied but not explicitly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that directly communicates the tool's function. Every word is necessary, and there is no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple and has an output schema (not shown), so the description need not detail return values. However, for completeness, it could mention scope or prerequisites. It is minimally adequate but not enriched.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so schema coverage is 100% trivially. The description adds no parameter information, but with no parameters, there is nothing to add. Following the guideline for 0 params, the baseline score is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'List' and the resource 'active SSH sessions', making the purpose unambiguous. However, it does not explicitly differentiate from sibling tools that also deal with SSH sessions (e.g., ssh_session_start, ssh_session_stop), though the action is distinct.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or context. The agent is left to infer its usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It only states 'Destroy a specific Metasploit session', which is minimally transparent. It does not disclose side effects, required permissions, or error states beyond what the name implies.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with no wasted words—a single sentence plus an Args section. It is front-loaded with the core action and efficiently structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (destroy a session), but the description omits any mention of return values, success/failure indicators, or behavior when session is invalid. An output schema exists but is not visible; still, a typical agent would benefit from brief notes on what happens post-destruction.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With schema description coverage at 0%, the description adds the phrase 'The session ID to destroy', clarifying the parameter's role beyond the schema. For a single, simple parameter, this is adequate but not exceptional.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The tool name and description clearly state 'Destroy a specific Metasploit session', providing a specific verb+resource combination. It distinguishes from siblings like 'msf_session_destroy_all' and 'msf_session_create' by emphasizing 'specific'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives (e.g., msf_session_destroy_all), nor does it mention prerequisites, when not to use, or typical context. This leaves the agent without criteria for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It mentions parameters but not behavioral traits like server lifecycle (how it runs, how to stop), network implications, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: two sentences plus bullet-like parameter list. Front-loads the main action with no extraneous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate for a simple tool with an output schema and two parameters, but lacks details on post-start behavior (e.g., background running, how to stop, output format).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description adds minimal context: 'Listening port' and 'Allow reverse tunnels' clarify parameter roles beyond the schema's type/default, but defaults are already in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Start a Chisel server for tunneling' with a specific verb and resource, distinguishing it from sibling tools like pivot_chisel_client or pivot_ligolo_start.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives such as pivot_chisel_client or pivot_ligolo_start. The description only explains functionality, not context or prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description only states it lists pivot points/routes, omitting any behavioral traits such as permissions needed, side effects, or limitations. Minimal disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, no waste. Efficiently communicates the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and an output schema present, the description covers the essential action. However, it lacks behavioral context that would make it fully complete, but acceptable for a simple list operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so schema coverage is 100%. The description does not need to add parameter details. Baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List all configured pivot points/routes' clearly states the verb (List) and resource (configured pivot points/routes). It is specific and distinct from sibling 'pivot_list_tunnels' but does not explicitly differentiate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like 'pivot_list_tunnels' or other pivot management tools. The description lacks context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, description must fully disclose behavioral traits. It only states estimation with no details on method, inputs (e.g., need for active session), or side effects. Insufficient for safe usage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is brief and front-loaded with purpose and args. Could be more structured (e.g., bullet-like), but no unnecessary words. Efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema, the description only mentions 'Estimated transfer time and recommendations' without specifics. Lacks context on accuracy, network assumptions, or how the estimate is derived. Underwhelming for a tool needing trust.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Description adds meaning beyond schema: clarifies that 'operation' can be 'upload' or 'download' (schema lacks enums). Explains 'file_size_bytes' is in bytes. This offsets the 0% schema description coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool estimates file transfer time over SSH, a distinct function among siblings. The verb 'estimate' and resource are specific and differentiate it from other SSH tools like ssh_session_command or ssh_sessions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. No mention of prerequisites or conditions, leaving the agent to infer applicability without context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description lacks any behavioral details such as side effects, reversibility, or permissions needed. It only states the action without context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short, but the second sentence redundantly describes the parameter when the schema already defines it. Still, it maintains clarity without excess.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity and the existence of an output schema, the description is minimally adequate. However, it lacks details on what 'stop' entails (graceful termination, impact on running commands).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, yet the description merely restates the parameter name ('session_id') with a generic phrase, adding no meaningful format, source, or constraint information beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'stop' and resource 'SSH session', making the tool's purpose unambiguous. It distinguishes itself from siblings like ssh_session_start and ssh_session_command.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use or alternative tools. The usage is implied by the tool's name and sibling context, but there is no caution or prerequisite information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
While the description notes that Amass uses 'open-source information gathering and active reconnaissance techniques' and has passive/active modes, it does not disclose potential impact (e.g., traffic generation, rate limiting, triggers). No annotations exist to fill this gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is reasonably concise, with a clear Args section and examples. The initial sentence is slightly redundant with the following line, but overall well-structured and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers input parameters adequately but omits output format or return value details despite an output schema being present. Given the complexity and many sibling tools, more context about what the tool produces would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description effectively explains all three parameters: domain (with example), mode (passive/active with default), and additional_args. It adds meaningful context beyond the schema, though additional_args could be elaborated.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool is for 'advanced subdomain enumeration using OWASP Amass' and explains it performs network mapping and asset discovery. However, it does not explicitly differentiate from sibling tools like tools_subfinder or tools_assetfinder.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides example usage and parameter hints (passive vs active) but lacks explicit guidance on when to choose this tool over alternatives, prerequisites, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so description carries full burden. It does not disclose behavioral traits such as output format, side effects (e.g., network traffic, alert generation), or prerequisites beyond parameters. The description is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a clear structure: a one-sentence purpose line followed by a list of parameters. Every sentence provides necessary value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema, the description does not explain what the tool returns or any important operational context (e.g., output format, runtime expectations, required privileges). This leaves the agent underinformed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the tool's description includes an 'Args' section with clear explanations for each of the 6 parameters, adding meaning beyond the schema's titles and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Run' and the resource 'BloodHound data collection against an Active Directory domain'. It distinguishes this tool from sibling AD tools by specifying BloodHound collection specifically.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives like ad_ldap_enum or ad_secretsdump. The description does not provide context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It does not disclose behavioral traits like destructive potential, authentication requirements beyond listing parameters, or side effects. It only states the action without context on safety or impact.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with two sentences and a parameter list. It is front-loaded with the purpose. The parameter list is slightly lengthy but acceptable; could be formatted as a table for clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (dumping domain controller secrets), the description covers the basic purpose and parameters. However, it lacks context on prerequisites, expected output format, or warnings (e.g., impact on the DC). Since an output schema exists, return value explanation is not strictly needed, but the description could still be more thorough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description adds meaning by explaining each parameter's purpose (e.g., 'target: Specific target (default: DC)', 'hashes: NTLM hash for pass-the-hash (LMHASH:NTHASH)'). This compensates well, though some parameters lack format details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it dumps secrets (NTLM hashes, Kerberos keys) from a domain controller using secretsdump.py, using a specific verb and resource. It distinguishes from sibling tools like ad_kerberoast and ad_asreproast by naming the underlying tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives, such as when not to use it or prerequisites like network access or required privileges. The description is silent on selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description only states the basic action. No annotations are provided, so the description must carry the full burden. It does not disclose behavioral traits such as network requests made, output format, authentication needs, or potential destructiveness. The existence of an output schema is not mentioned.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise with two sentences that front-load the purpose. No unnecessary words are included, and the structure is clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has an output schema (according to context signals), the description does not need to explain return values, but it lacks context on prerequisites, installation, or typical usage scenarios. The description is too minimal for a scanning tool that could have important behavioral implications.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It provides basic parameter descriptions: 'Target base URL' for url and 'Custom wordlist or kiterunner routes file' for wordlist. This adds meaning beyond the schema, though more detail (e.g., format of wordlist) would be helpful.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'Scan API endpoints' and the tool 'Kiterunner for route discovery'. It specifies the verb and resource, and distinguishes from sibling tools like api_ffuf_fuzz or api_nuclei_scan which serve different API scanning purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. Among siblings, there are many other API scanning tools, but the description does not explain when Kiterunner is appropriate or what scenarios it excels in.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but omits behavioral details like idempotency, overwrite behavior, permissions required, or success/failure indications. The existence of an output schema is noted but its content is unknown.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a clear docstring format and bulleted parameter explanations. No wasted words, though it could be slightly more structured with a brief behavioral note.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a file upload tool with 4 parameters and no annotations, the description covers basic functionality but misses details on error handling, overwrite behavior, path format, and return value structure (despite output schema existence). Adequate but with gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Despite 0% schema coverage, the description adds meaning by explaining that content is Base64-encoded, remote_path is a destination, encoding options include utf-8 and binary, and verify_checksum is for integrity. This goes beyond the schema's type/name information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Upload') and the target resource ('Kali server filesystem'), making it distinct from siblings like 'target_upload_file' or 'reverse_shell_upload_content' which target different locations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool vs. alternatives such as 'kali_download', 'target_upload_file', or reverse shell upload tools. The description lacks context about prerequisites or scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It mentions starting a server and returning a URL, but omits whether it runs in the background, is blocking, or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief (3 lines) and structured with Args/Returns, but could be more front-loaded with the main action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With an output schema present, the description's return explanation suffices. However, it lacks context on runtime behavior (e.g., background vs blocking) and how it integrates with other payload tools. Adequate but not comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds context to the 'port' parameter ('Port for the hosting server') beyond the schema's type and default, compensating for the 0% schema description coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Start HTTP server to host generated payloads for download,' using a specific verb and resource. It distinguishes from siblings like 'payload_host_stop'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., other server tools). Missing context about prerequisites or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It accurately describes output (command(s) ready to copy-paste) and input (lhost, etc.). No destructive behavior is implied, but effort to disclose limitations or side effects is minimal. Adequate but could mention that commands may require a listener.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise and well-structured. Three clear lines for args plus a return line. Every sentence adds value. No fluff, no repetition. Ideal for quick understanding.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given low complexity and presence of output schema (implied by 'Returns'), the description is largely complete. It covers all parameters and return value. Could briefly warn about legal use or mention that a listener is required, but not essential for a generation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description provides all param meaning. It adds value by describing lhost as 'Your IP address', lport with default, and shell_type with explicit list of options. However, it lacks format details (e.g., IP validation, port range) and does not cover all param semantics fully.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool generates reverse shell one-liner commands, specifying the action and resource. It distinguishes itself from siblings by its focus on one-liners, but does not explicitly differentiate from similar tools like reverse_shell_command. Still, purpose is clear and specific.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool over alternatives. The description does not mention prerequisites, context, or when not to use it. Given many sibling tools for payloads and reverse shells, this is a gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It merely lists arguments without explaining the tool's operational behavior—such as making HTTP requests, potential noise, or safety considerations. The agent learns nothing about side effects or requirements beyond what is inferred from parameter names.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear purpose statement followed by a bullet list of arguments. It is concise, though the argument list is moderately long. The information is front-loaded and easy to scan.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the existence of an output schema, the description does not need to explain return values. However, it lacks behavioral context (e.g., network activity, concurrency, safety) that would help the agent assess impact. For a tool with 8 parameters and moderate complexity, the description covers inputs but misses operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although schema description coverage is 0%, the description provides meaningful explanations for each parameter (e.g., 'url: Target URL', 'method: HTTP method (GET, POST, JSON)'). This compensates well for the missing schema descriptions, adding clarity to each argument. Some descriptions are terse but sufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Discover hidden HTTP parameters using Arjun.' This clearly identifies the verb (discover), resource (hidden HTTP parameters), and tool (Arjun). It effectively distinguishes this tool from its siblings, which cover different security testing tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus other similar tools like api_fuzz_endpoint or tools_gobuster. It neither mentions prerequisites, recommended scenarios, nor alternatives, leaving the agent without context for appropriate invocation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No behavioral traits disclosed; with no annotations, the description fails to mention whether the scan is destructive, requires permissions, or potential output characteristics beyond the existence of an output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Concise with a single-sentence purpose followed by a clear argument list; minimal verbosity but not highly structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Provides basic parameter explanations and output schema existence, but lacks guidance on prerequisites, typical use cases, or potential side effects, making it adequate but not thorough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Despite 0% schema coverage, the description adds meaningful examples for each parameter (e.g., tuning values, output formats), clarifying usage beyond the schema's type definitions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute Nikto web server scanner,' specifying the tool's function and distinguishing it from sibling tools like network or directory scanners.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives; no exclusions or context provided beyond the basic command.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavior. It only lists parameters and a one-line purpose. It does not describe whether the tool is read-only, what side effects occur, how it handles failures, or what output format to expect beyond the existence of an output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: one line of purpose followed by a cleanly structured argument list. No redundant information. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters, 3 required) and the presence of an output schema, the description is minimally adequate. It explains parameters but does not describe the enumeration behavior, error handling, or any prerequisites like network access. Additional context would improve usability.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description explains each parameter in a 'Args:' block, e.g., 'domain: AD domain', 'query: Query type (users, groups, computers, spns, admins, all)'. This adds meaningful context beyond the schema's titles and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Enumerate Active Directory via LDAP', specifying the verb and resource. The argument list includes query types (users, groups, computers, spns, admins, all), distinguishing it from sibling AD tools like ad_kerberoast or ad_bloodhound_collect.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, contexts, or when to avoid using it. Sibling tools exist for other AD operations, but no selection criteria are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only says 'Test API rate limiting controls' without explaining the effect (e.g., rapid requests that may trigger blocks), safety profile, or what the output contains. This lack of transparency is a significant deficit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, with a single opening sentence and a clear parameter list. Every sentence adds value, and the structure is front-loaded with the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and the existence of an output schema, the description covers basic purpose and parameters. However, it lacks behavioral context (e.g., what the test does to the target) and usage context, making it only minimally complete for an automated agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description provides parameter names and brief descriptions for all three parameters, including defaults. This adds meaning beyond the raw schema (which lacks descriptions). However, the 'url' description is somewhat generic ('Target API endpoint'), so not fully precise.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Test API rate limiting controls.' This is a specific verb-resource pair that distinguishes it from sibling API tools like api_auth_bypass_test, api_ffuf_fuzz, etc. The parameter details further clarify the action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives. The description does not mention prerequisites, exclusions, or compare with sibling tools. This is a gap for optimal tool selection by an AI agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior. It mentions file download and output directory but does not specify side effects like file overwrite behavior, size limits, or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise with a clear title, brief explanation of two modes, and an args list. Every sentence adds value with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description doesn't need to detail return values. It covers basic usage but not error conditions or prerequisites. It is minimally adequate for a simple download tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description compensates by explaining each parameter: challenge_id downloads first file, file_url takes priority, output_dir defaults. This adds significant meaning beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description starts with 'Download challenge files from the CTF platform' which is a specific verb+resource. It clearly states the tool's function and distinguishes it from siblings like ctf_get_challenge or ctf_submit_flag.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternative sibling tools. It only explains the two parameter modes but does not indicate prerequisites or compare with other CTF tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only describes the fetch operation and the parameter, lacking information on whether it's read-only, authentication needs, or rate limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using two short lines to convey the purpose and parameter. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is minimal but sufficient for a simple read tool with an output schema. However, it lacks context about the active CTF or the nature of the scoreboard (e.g., real-time, historical).
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning to the 'top' parameter by explicitly stating it returns 'Number of top entries' with a default of 20, which is absent from the input schema. This compensates for the 0% schema description coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Fetch the current CTF scoreboard', using a specific verb and resource. It distinguishes from sibling tools like ctf_list_challenges and ctf_submit_flag by focusing on the leaderboard.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or context (e.g., active CTF). A simple instruction would improve usability.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden for behavioral transparency. It only says 'Check the status' without disclosing what the status entails (e.g., active, closed, error), potential side effects, or permissions required. The description offers minimal insight beyond the tool's basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise—two sentences and an argument line—with no filler. It is front-loaded with the purpose and structured cleanly. Every part earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the existence of an output schema, the description does not need to explain return values. However, the context is thin: it does not mention where to obtain session IDs (e.g., from ssh_sessions) or what the expected statuses are. For a simple tool this is adequate but not rich. Complexity of sibling tools suggests more context would help.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'session_id' is not described in the input schema (0% schema description coverage). The tool description adds 'The SSH session ID to check', which clarifies its meaning beyond the schema's title. This adds significant value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Check the status of an SSH session.' The verb 'Check' and resource 'status of an SSH session' are specific, and the tool is well-distinguished from sibling tools like ssh_session_start, ssh_session_stop, and ssh_sessions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool or when to avoid it. The description does not mention prerequisites (e.g., needing an existing session), nor does it direct users to obtain session IDs from other tools like ssh_sessions or ssh_session_start.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description only mentions 'Upload content directly... no local temp files'. It does not disclose overwrite behavior, permissions, error handling, or other side effects, leaving significant gaps for a file transfer tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is short and front-loaded with the core action; the Args list is slightly redundant with the schema but adds value. Could be more compact, but no wasted sentences.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of an upload tool and presence of an output schema, the description covers the basic mechanism but lacks prerequisites (active session), failure modes, and usage context. Adequate for a straightforward tool but not comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description's Args section adds essential meaning: 'Base64-encoded content', 'Destination path on the remote host', and encoding options, far exceeding the schema's bare type/title.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Upload' and resource 'content to a remote host via SSH', with a notable distinction 'no local temp files' that sets it apart from siblings like reverse_shell_upload_content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like ssh_session_download_content or reverse_shell_upload_content; lacks explicit when-not-to-use or prerequisite context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description should fully disclose behavioral aspects. It mentions passivity and the effect of include_expired, but omits potential issues like rate limits, API errors, result volume, or that it queries an external service. These gaps hinder an agent's understanding of risks and performance.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, well-structured with Args and an example, and every sentence is informative without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (passive enumeration, 2 params, with output schema), the description provides necessary usage context and parameter behavior. The output schema covers return values, so the description is mostly complete, though it could note that results may include JSON with certificate data.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must supply parameter semantics. It explains domain with an example and describes include_expired's default and effect, adding clear value beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it queries crt.sh for passive subdomain enumeration, specifying the resource and technique. While it differentiates from active tools by mentioning passivity, it could more explicitly contrast with sibling tools like tools_amass or tools_subfinder, which also enumerate subdomains.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description advises using this tool for passive reconnaissance and notes it sends no traffic, providing context for stealthy use. However, it lacks explicit guidance on when not to use it (e.g., when active scans are acceptable) and does not mention alternatives among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits. It only lists args and says 'execute', lacking info on errors, timeouts, or output behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Concise overall with a one-line purpose and parameter list. Could be slightly more compact but acceptable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Adequate but missing mention of output format or return value type. Has output schema available but not referenced. Could guide the agent on result interpretation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description provides clear explanations for all 4 parameters (hash_file, wordlist, format_type, additional_args), compensating fully.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
States 'Execute John the Ripper password cracker' with a specific verb and resource. Distinguishes from sibling tools like tools_hydra or api_jwt_crack.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Does not mention prerequisites, hash type detection, or comparison with other cracking tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for behavioral disclosure, but it does not mention side effects, permissions, or safety (e.g., whether scanning is destructive). It only lists parameters without addressing behavioral traits like rate limits or authentication requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is exceptionally concise: one sentence for purpose followed by a clean list of parameters. No redundant or irrelevant information, and it is well-structured for quick scanning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While all parameters are described, the description omits details about the output format (despite an existing output schema) and fails to mention important context like whether the tool is read-only, if it requires a running WordPress instance, or any prerequisites. This leaves gaps for an agent to safely invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description provides essential meaning for all five parameters. It explains each parameter clearly (e.g., 'url: Target WordPress URL') and offers examples for 'enumerate,' adding value beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute WPScan WordPress vulnerability scanner,' which is a specific verb and resource. It distinguishes itself from sibling scanning tools by focusing on WordPress, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives like tools_nmap or tools_nikto. The description lacks explicit when-to-use or when-not-to-use conditions, leaving the agent to infer from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry full burden. It mentions generating payloads with msfvenom and returning base64 content for small payloads, but it does not disclose potential side effects (e.g., file creation, network connections), permission requirements, or limitations. This lack of detail hinders the agent's understanding of side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with clear sections for args and returns, and each line provides necessary information without redundancy. It is concise enough for an AI agent to parse efficiently, though the bullet format is slightly informal.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of 10 parameters and an existing output schema, the description covers parameter semantics and return info adequately. However, it omits prerequisites (e.g., msfvenom installation), error handling, or usage limitations, leaving some gaps for the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description compensates by listing all 10 parameters with brief, explanatory text (e.g., 'lhost: Your IP address for callback', 'payload: Metasploit payload string (ignored if template specified)'). This adds significant meaning beyond the bare schema, though some descriptions could be more detailed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Generate a payload using msfvenom,' which clearly identifies the verb and resource. It distinctively sets the tool apart from sibling tools like payload_one_liner, payload_templates, and callback_generate, which serve different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool versus alternatives. While it provides parameter explanations, it lacks context about when not to use it (e.g., when a simpler one-liner suffices) or when to choose other payload generation tools. This leaves some ambiguity for the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It fails to mention any side effects, such as termination of hosting, loss of state, or required permissions. The description is too minimal to inform the agent about the tool's behavior beyond the basic action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of five words, with no unnecessary content. It is front-loaded with the core action and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is adequate for a parameterless stop tool with an output schema. However, it could mention that the server must be running to avoid errors, slightly improving completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no parameters, so baseline is 4. The description adds no further parameter information because there are none.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (stop) and the target (payload hosting server). It distinguishes the tool from its sibling 'payload_host_start' by explicitly using 'Stop' as the verb.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives or when not to use it. It does not mention prerequisites, such as requiring the server to be running, or that it should be used after 'payload_host_start'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behaviors. It only lists arguments and gives a basic example, but does not describe connection lifecycle, blocking/non-blocking nature, authentication requirements, or what happens on the target.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a clear one-line summary and bullet-like argument explanations. Every sentence adds value, though it could be better structured (e.g., separating args more clearly).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema (implied), returning values are not needed. However, the description lacks information on prerequisites (e.g., server must be running), success/failure indicators, or how the tunnel is managed (foreground/background). It is minimally adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description adds meaningful context: server_url example, tunnel specification format, and fingerprint verification purpose. This compensates for the lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Start a Chisel client to connect to a Chisel server.' It uses a specific verb (start) and resource (Chisel client), and distinguishes itself from sibling tools like pivot_chisel_server which starts a server.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or alternatives are mentioned. While the tool's name and context imply it's for Chisel-based pivoting, there is no guidance on when to choose this over other pivot tools (e.g., pivot_ligolo_start, pivot_socat_forward).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only states that it returns configuration content, without mentioning side effects, authorization needs, or output format details. Minimal disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise: one sentence for purpose, then clear Args and Returns sections. No unnecessary text, well-structured and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with two optional parameters and an output schema. The description adequately covers the purpose and output, though it could mention edge cases (e.g., invalid port) or default behavior more explicitly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description adds meaning by explaining the args (socks_port and proxy_type) with defaults. Could be improved by clarifying constraints like valid port range or exact proxy type values.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool generates a proxychains configuration for pivoting through SOCKS proxy, with a specific verb and resource. It distinguishes from sibling pivot tools like pivot_chisel_client or pivot_ssh_dynamic by its unique output.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives like other pivot tools. It does not mention prerequisites, when-to-use, or when-not-to-use, leaving the agent without decision context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Describes the function adequately but lacks details on side effects (e.g., tunnel persistence, lifecycle, or security considerations like password exposure). Basic but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Very concise, front-loaded with the purpose in the first line, followed by a clean parameter list. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of creating an SSH local port forward (a long-running tunnel) and absence of annotations, the description lacks crucial context: how to stop the tunnel, whether it's blocking, return value details, and prerequisites (e.g., SSH server accessibility). Output schema exists but is not shown in the description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% parameter descriptions, so the description must compensate. It adds meaningful explanations for each parameter in the Args block (e.g., 'ssh_host: SSH server to tunnel through'), providing context beyond the schema's type and title.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states the action ('Create') and the resource ('SSH local port forward'), with a parenthetical explanation ('access remote service locally'). Distinguishes from sibling tools like pivot_ssh_dynamic and pivot_ssh_remote.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., pivot_ssh_remote, pivot_ssh_dynamic). Does not mention prerequisites or usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden. It lists parameters but does not disclose behavioral traits such as persistence, timeout, error handling, or authentication requirements beyond the parameter list.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a one-line summary followed by a clean parameter list. It is well-structured and easy to scan, though could be slightly more polished.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 7 parameters, no annotations, but an output schema exists (so return values need not be explained), the description is adequate but lacks broader context such as typical use cases or potential pitfalls.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description adds meaningful context for each parameter (e.g., 'SSH server to tunnel through', 'Port to open on the SSH server'), which compensates well for the lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Create an SSH remote port forward (expose local service on remote host)', using a specific verb and distinguishing itself from siblings like pivot_ssh_dynamic and pivot_ssh_local.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for exposing local services, but does not provide explicit guidance on when to use this tool versus alternatives, nor any prerequisites or conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. Description does not disclose behavioral traits such as network impact, permission requirements, or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
First sentence states purpose clearly. Structured as a docstring with Args section. No redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers parameters well but lacks usage guidance and behavioral context. Output schema exists but not described. Adequate but not thorough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Adds meaning to all 5 parameters with examples and notes (e.g., output_format behavior). Compensates for 0% schema description coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'Execute an Nmap scan against a target.' with specific verb and resource. Distinguishes from sibling tools like tools_masscan.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs alternatives. Does not mention use cases, prerequisites, or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It explains parameters like port, session_id, listener_type, and auto_upgrade, but lacks details on runtime behavior (e.g., blocking nature, lifecycle, background execution) and potential side effects (e.g., opening a port).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded with the main purpose. The Args/Returns format efficiently presents parameter information without unnecessary verbiage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers basic parameters and returns, but lacks complete behavioral context (e.g., blocking, lifecycle) and the output schema details are missing. Given moderate complexity, it is adequate but not fully comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description compensates well by listing each parameter with defaults and brief explanations. However, it could add more detail on listener_type options (e.g., differences between netcat and pwncat).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Start a reverse shell listener on the specified port,' specifying both the action and the resource. It distinguishes itself from sibling tools like callback_start or payload_host_start by focusing on reverse shell listeners.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives such as callback_start or payload_host_start. The description does not mention prerequisites, typical use cases, or scenarios where this tool is preferred.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It mentions 'persistent SSH session' and return values, but lacks details on side effects like network usage or authentication failure behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with Args and Returns sections, though slightly verbose with default values; could be more concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, authentication options), the description covers basic usage but lacks guidance on error handling, session management, and when to choose password vs key authentication.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description excellently compensates by explaining each parameter's purpose, defaults, and conditions (e.g., 'if using password auth', 'if using key auth').
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Start a persistent SSH session') and the target ('to a target host'), effectively distinguishing from sibling tools like ssh_session_command and ssh_session_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides parameter details but no explicit guidance on when to use this tool versus alternatives, nor any prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description adds minimal behavioral context beyond what the name implies. For a read-only info tool, it is adequate but could mention any read-only nature or system impact.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no redundant information, and the key information is front-loaded. Extremely concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has zero parameters and an output schema exists, the description is largely sufficient. However, it does not mention any prerequisites or error conditions.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so the description does not need to add parameter details. Baseline score of 4 applies as schema coverage is 100%.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it retrieves comprehensive network information for the Kali Linux system, including examples. While it is specific enough, it lacks detail on the exact scope of 'comprehensive'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when or when not to use, but the purpose is straightforward since no sibling tool overlaps with this functionality. Usage is implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must fully disclose behavior. It states the output (decoded header/payload, algorithm analysis, vulnerabilities) but does not confirm whether the token is sent externally or if there are side effects. This is moderately transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise, using a clear Args/Returns format that front-loads the purpose. Every sentence is necessary and no verbosity is present.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (1 parameter, no nested objects, output schema exists), the description sufficiently covers the output. However, it lacks context about preconditions or source of the JWT, which would be helpful for completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds semantic meaning to the single parameter 'token' by stating it expects a JWT token string, which is not provided in the input schema (0% coverage). This helps the agent understand the expected input beyond the type.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Analyze a JWT token for weaknesses'), specifying the verb and resource. It distinguishes from the sibling tool 'api_jwt_crack', which focuses on cracking rather than analysis.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like api_jwt_crack. The description lacks context about prerequisites or conditions, leaving the agent without decision support.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It explains it returns the latest callback dict or a message if none. It is clearly a read operation, but no explicit mention of non-destructive behavior or other traits like side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is extremely concise: one-line purpose, usage note, returns section, and example. Every sentence adds value, no fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and an output schema, the description covers purpose, usage, return value format, and an example. Complete for a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters, schema coverage 100%, baseline 4. Description adds no parameter details (none needed), but is clear about the tool's lack of inputs.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get the most recent callback captured by the local catcher.' It uses specific verb 'Get' and resource 'callback', distinguishing it from siblings like 'callback_list' which returns all callbacks. However, it does not explicitly differentiate from other callback tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description notes 'Useful for quick checks after sending a payload.' This provides usage context but no explicit when-not-to-use or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must bear full burden. It states the operation and return value but does not disclose behavior like overwriting existing files, permission requirements, or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise: one line for purpose, then structured Args and Returns. Every sentence adds value with no waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Simple tool with straightforward purpose. Description covers purpose, parameters, and return value. Could mention behavior if exploit not found or if destination exists, but overall sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description must explain parameters. It defines edb_id (ID number) and destination (directory, default /tmp), adding meaning beyond the schema's type/default fields.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states verb 'Copy' and resource 'exploit to a working directory for modification'. Distinct from sibling tools like exploit_search and exploit_details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives like exploit_search (to find) or exploit_details (to view). Usage is implied but not clarified.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but only states it returns metadata and source code. No disclosure of side effects, auth needs, or read-only nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise with clear sections (main, Args, Returns). No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and an output schema, the description adequately covers purpose and return. Lacks any prerequisites or limitations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Though schema coverage is 0%, the description explains the 'edb_id' parameter as 'Exploit-DB ID number', adding type context beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get full details and source code for an exploit' with specific verb and resource. It distinguishes from sibling tools like exploit_search and exploit_copy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or alternatives provided. The parameter edb_id implies prior knowledge from exploit_search, but without guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It states that the tool analyzes headers and returns security ratings, implying a read-only operation. However, it does not disclose potential side effects (although likely none), authorization needs, or rate limits, but the stated purpose is clear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two sentences, front-loading the purpose. There is no redundancy or wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with one parameter and an output schema exists, so the description adequately covers its core functionality. It could include more context about when to use it or prerequisites, but it is complete enough for basic use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It defines the parameter 'url' as 'Target URL to check headers', which adds meaning beyond the schema's type-only definition. This is helpful and sufficient for a single-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool analyzes HTTP response headers for security posture. This specific verb and resource (analyze headers) distinguishes it from siblings like fingerprint_url (likely full page analysis) and fingerprint_waf (WAF detection).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives like fingerprint_url or fingerprint_waf. The description only states what it does without giving context or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description states it returns health information but does not disclose whether it is read-only, required authentication, or side effects. With no annotations, the description carries full burden and is missing safety profile.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two-line description is highly concise and front-loaded, with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters and presence of output schema, the description is mostly complete for a simple health check tool, though could mention lightweight nature.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, and schema coverage is 100%. Baseline score of 3 applies as description adds no parameter info.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses clear verb 'Check' and specific resource 'health status of the Kali API server', distinctly identifying its function from sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives, but for a simple health check, usage context is implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It indicates a read-only listing operation without destructive effects, but does not explicitly state safety, rate limits, or that it only returns managed entries. It is adequate but could be more explicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, front-loading the purpose in the first sentence, followed by output format and an example. No wasted words; every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple parameterless tool with an output schema, the description adequately covers purpose and returns. It could mention the scope (only MCP-managed entries) is already implied. Nearly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero parameters, with 100% schema description coverage. The description adds no parameter details, which is appropriate as there are none. Baseline of 3 is correct.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists managed /etc/hosts entries added via Kali-MCP. It uses a specific verb and resource, and is easily distinguished from sibling tools like hosts_add, hosts_clear, and hosts_remove.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for viewing managed entries but provides no explicit guidance on when to use this tool versus alternatives or any prerequisites. It is functional but lacks contextual advice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the non-destructive read operation and the optional checksum verification behavior. However, it does not mention error handling, authentication requirements, or consequences of missing files.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact (6 lines) and front-loaded with the core purpose. The Args/Returns format provides clear structure without redundancy. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple download tool with an output schema, the description covers the essential purpose, parameters, and return format. It lacks context about network prerequisites or error states, but overall it is adequate given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no descriptions (0% coverage). The description adds meaning: 'remote_path: Path to file on the Kali server' and 'verify_checksum: Verify SHA256 checksum if provided by the server'. This clarifies the purpose of both parameters beyond their names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'download', the resource 'file content from the Kali server', and the output format 'base64'. This distinguishes it from siblings like 'kali_upload' and 'target_download_file'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool, prerequisites (e.g., Kali server connectivity), or when to prefer alternatives. There is no explicit 'when-to-use' or 'when-not-to-use' context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description explicitly says 'destroy', indicating a destructive action. However, no annotations are provided, so the description carries the full burden. It lacks details such as whether sessions are immediately terminated or if any confirmation is required. Adequate but minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence, zero waste. Directly communicates the action. Concise without being incomplete.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simple action (destroy all sessions), the description is complete enough. Context indicates an output schema exists, so return values need not be detailed. However, for a destructive operation, a note on typical behavior (e.g., no undo) would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has no parameters, so description adds no parameter information, which is appropriate. Schema coverage is 100%, and baseline is 3; description provides no extra meaning but is not lacking. It correctly implies no input is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'destroy' and the resource 'all active Metasploit sessions', distinguishing it from sibling tool 'msf_session_destroy' which targets a single session. This provides specific purpose and differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., msf_session_destroy for individual sessions). No warning about destructive nature or prerequisites. The description only states the action without context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description bears full responsibility for behavioral disclosure. It states that commands are executed and output is returned, but it does not elaborate on side effects, destructiveness, or safety implications. The parameters timeout and read_delay hint at behavior but lack depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, starting with a clear purpose sentence followed by a well-structured bullet list for arguments and returns. Every sentence serves a purpose without wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists, the description's brief 'Returns: Command output and status' is adequate. It covers inputs, purpose, and outputs, though it could mention potential errors or the need for a valid session.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, yet the description adds value for all four parameters: session_id (source identified), command (with examples), timeout (default and unit), and read_delay (purpose explained: 'for slow-responding commands'). This compensates well for the schema's lack of descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute a command in an existing Metasploit session,' specifying the verb (Execute) and resource (command in a session). It distinguishes from sibling tools like msf_session_create (which creates sessions) and msf_session_destroy (which destroys them), leaving no ambiguity about its role.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage after a session is created (via reference to 'existing Metasploit session' and session_id from msf_session_create), but it does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or prerequisites beyond having a session.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description conveys a destructive action (stops tunnels), but with no annotations, it fails to disclose additional behavioral traits such as irreversibility, confirmation requirements, or side effects. The bare description is insufficient for full transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is front-loaded and contains no extraneous words. It effectively communicates the tool's function in minimal space.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, single action), the description is nearly complete. However, it does not clarify the scope (e.g., all tunnels in the current session or globally), and the output schema is not shown but the description does not need to explain return values. Slightly lacking in scope definition.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the description does not need to add parameter information. The description already captures the tool's purpose adequately, meeting the baseline expectation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'stop' and the resource 'all active tunnels and port forwards'. It distinguishes from the sibling 'pivot_stop_tunnel' which targets a specific tunnel, making the scope unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when the goal is to stop all tunnels, but it does not explicitly contrast with sibling tools like 'pivot_stop_tunnel' or mention when not to use it (e.g., if only a specific tunnel should be stopped). No alternative guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states basic function and return value, but lacks details on side effects, error behavior, session state changes, or permission requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a one-line purpose, then structured Args and Returns sections. No extraneous content, and key info is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose, parameters, and return type. It implies the need for an active session but does not explain prerequisites or error handling. Given presence of output schema, completeness is good but could be better.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description adds meaningful explanations for all parameters: session_id example, command purpose, and timeout default. This compensates well, though more detail on format could improve.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute a command in an active reverse shell session', with a specific verb and resource. It distinguishes from sibling reverse_shell tools by focusing on command execution, not listener management or file transfer.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use when having an active session ('in an active reverse shell session'), but does not explicitly state when to use or avoid this tool, nor mention alternatives like upload/download for file operations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It states the tool performs AS-REP Roasting to get hashes but does not describe side effects like network traffic, authentication requirements, or potential impact on the domain controller. The behavioral transparency is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, with a one-line purpose followed by a bulleted list of parameters. It is front-loaded and contains no superfluous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description does not need to detail return values. However, it lacks prerequisites (e.g., network access to DC, Kali environment) and does not describe success conditions. It is adequate but not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description compensates by explaining each parameter: domain, dc_ip, username, userlist. The explanations add meaning beyond the schema's bare titles and types, though they are brief.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool performs AS-REP Roasting to obtain hashes for accounts with pre-auth disabled. It uses a specific verb and resource, and the purpose is distinct from sibling tools like ad_kerberoast and ad_bloodhound_collect.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates the tool is for accounts with pre-auth disabled, providing clear context for when to use it. However, it does not explicitly mention when not to use it or compare to alternatives like Kerberoasting.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits like prerequisites, side effects, or failure modes. It only mentions 'persistent' and the return value, omitting important context such as whether a Metasploit console must be running or if the session requires prior setup.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two front-loaded sentences, no wasted words, and clearly states the action and return value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and an existing output schema, the description is fairly complete but lacks context about the session's environment (e.g., target, prerequisites) which could be important for an agent to understand.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so the baseline is 4. The description adds no parameter information, which is acceptable since none exist.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a new persistent Metasploit session and distinguishes it from sibling msf_session_* tools by specifying it returns a Session ID for use with them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this tool is a prerequisite for other msf_session_* tools, but it does not explicitly state when to use it versus alternatives or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description indicates a read-only operation ('list'), which is safe, but provides no additional behavioral details such as session details returned or potential performance impact. No annotations exist to supplement.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that immediately conveys the tool's purpose with no extraneous words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, expected output as a list), the description is complete and sufficient for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has no parameters, so the description does not need to add parameter info. Baseline score of 4 is appropriate for zero-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'list' and the resource 'active Metasploit sessions', making it distinct from sibling tools like msf_session_create or msf_session_destroy.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives (e.g., msf_session_execute, msf_session_destroy). The description lacks context about prerequisites or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It states the tool returns a list of template names and encoders, implying a read-only operation. However, it does not specify if calls to msfvenom are made each time, caching behavior, or any side effects. This is adequate for a simple list, but not fully transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two lines: one sentence stating the purpose and a 'Returns:' line specifying the output. It is concise, front-loaded, and every word adds value. No fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters and an output schema exists, the description sufficiently covers the tool's functionality. It explicitly notes the return value (template names and encoders). The context signals indicate high schema coverage and presence of output schema, so no further detail is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so schema coverage is 100% trivially. The baseline for zero parameters is 4, and the description adds no parameter info beyond what's implied (none needed). No improvement required.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool lists 'available payload templates and encoders for msfvenom', with a clear verb ('List') and resource ('payload templates and encoders'). Among siblings like 'payload_generate' and 'payload_list', this distinguishes itself by focusing on msfvenom-specific templates and encoder listings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like 'payload_generate' or 'payload_list'. The description does not mention prerequisites, scenarios, or exclusions, leaving the agent to infer usage without context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses that content must be base64-encoded, method options, encoding options, and optional SHA256 checksum. However, it does not mention what happens on failure, required session state, or permission implications.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the tool's purpose, followed by a well-organized parameter list. It is efficient without unnecessary repetition, though it could be slightly more condensed.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations and an output schema exists, the description covers the core purpose and parameters. However, it lacks details on prerequisites (e.g., session must be active), error handling, and file overwrite behavior, leaving some gaps for a mutation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description fully defines all 6 parameters with clear context beyond the titles. Each parameter's role (e.g., 'active session ID', 'destination path', 'transfer method') is explained, enabling correct parameter usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'upload' and the resource 'content to a target via an active session (SSH or reverse shell)', distinguishing it from sibling tools like ssh_session_upload_content and reverse_shell_upload_content by indicating it supports both methods via a parameter.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for uploading files via active sessions but does not explicitly guide when to use this tool over its siblings (e.g., for specific session types use the specialized upload tools). No when-not-to-use or alternative suggestions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the return outcomes (correct, already solved, incorrect), which is useful. However, with no annotations, it fails to mention other behavioral aspects such as authentication requirements, rate limits, whether the submission is idempotent, or side effects like updating the scoreboard. This leaves gaps in understanding the tool's behavior beyond the immediate return.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, with two clear sentences followed by an Args list and an example. It front-loads the purpose, uses no extraneous words, and every sentence adds value. The structure is ideal for quick agent comprehension.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple submission tool, the description covers the essential aspects: what it does, the parameters, and the return values. The presence of an output schema further reduces the need to document return structure. However, it omits error handling details and prerequisites, which for a CTF tool could be important (e.g., Must a challenge be connected? Is there a session?). Overall, it is nearly complete but has minor gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has no descriptions (0% coverage), but the description compensates by explaining each parameter: 'challenge_id: The challenge ID to submit for' and 'flag: The flag string (e.g. 'flag{example_flag_here}')'. This adds meaningful semantic context beyond the type and requirement information in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Submit a flag for a CTF challenge.' It specifies the action ('submit'), the resource ('flag'), and the context ('CTF challenge'). The purpose is distinct from sibling CTF tools like ctf_list_challenges or ctf_connect, which handle different actions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the context (CTF challenges), but the description does not explicitly state when to use this tool versus alternatives, nor does it mention any prerequisites (e.g., must have a valid challenge ID) or situations where submission might be inappropriate. There is no clear guidance on when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full burden. It describes the expected return (technologies, headers, server info) but does not disclose behavioral traits such as safety, destructiveness, rate limits, or authentication needs. The description is adequate but not comprehensive.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with two sentences plus a structured Args/Returns section. Every sentence adds value, and the main purpose is front-loaded. There is no extraneous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, clear purpose) and the existence of an output schema, the description provides sufficient context: what it does, what input it needs, and what it returns. It could be slightly more detailed about usage scenarios, but overall it is complete enough for an agent to understand and invoke the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, but the description adds a clear description of the 'url' parameter ('Target URL to fingerprint'). This provides meaningful context beyond the bare schema, helping the agent understand the parameter's purpose.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'fingerprint' and clearly states the resource (URL) and purpose (detect technologies, frameworks, CMS). It distinguishes itself from siblings like fingerprint_headers and fingerprint_waf by specifying the broader scope of technology detection.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage (when you need to fingerprint a URL for technology detection) but does not explicitly state when to use or avoid, nor does it mention alternatives. It provides no exclusions or context about prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses that the output is base64 encoded and mentions two methods (base64, cat). However, it does not address potential side effects (e.g., file not found, permissions, session state changes) or the behavior on error. This is adequate but incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise: two sentences plus a bulleted list of parameters. The key purpose is front-loaded in the first sentence, and every sentence adds value. No redundant or verbose wording.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description adequately covers purpose, parameters, and return format. However, it does not mention prerequisites (e.g., an active reverse shell session) or potential failure modes. The sibling tools list provides some context, but the description itself could be more self-contained.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. The Args section explains each parameter's purpose and the valid values for method (base64, cat). This adds meaningful context beyond the schema's titles and types. It could be improved by specifying constraints on session_id or remote_file format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool downloads file content from a target via reverse shell and returns it as base64. This clearly specifies the action (download), resource (file content), and method (reverse shell), distinguishing it from siblings like reverse_shell_upload_content or ssh_session_download_content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implicitly indicates use with a reverse shell session, but lacks explicit guidance on when to use this tool versus alternatives such as ssh_session_download_content or target_download_file. No when-not or exclusions are provided, leaving the agent to infer the context from the tool name and sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses that payloads are generated for manual execution but does not mention network behaviors, authentication needs, or potential risks. As a generation tool, transparency is adequate but could specify that no execution or connection occurs.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with purpose, then lists parameters in a clear Args block, and ends with return value. Every sentence adds value; no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 4 parameters (1 required), no annotations, and 0% schema coverage, the description covers purpose, parameters, and return. Could mention that generated payloads are ready for copy-paste or that it does not execute them. Output schema exists, so return explanation is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description compensates well by explaining each parameter: local_ip, local_port with default, payload_type with enumerated examples, encoding with options. This adds significant meaning beyond the schema names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Generate reverse shell payloads') and the resource ('for manual execution on targets'). It distinguishes from sibling tools like reverse_shell_send_payload by emphasizing manual execution.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for generating payloads to be executed manually, but lacks explicit guidance on when to use this over alternatives like reverse_shell_command or payload_generate. No exclusions or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses behavioral traits like JavaScript rendering, headless browsing, and the trade-off between depth and time. However, it omits details about side effects (e.g., rate limiting, output handling, robots.txt compliance) that would be valuable given the absence of annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is efficiently structured: a one-line summary, a brief contextual paragraph, a clear Args section with explanations, and practical examples. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 5 parameters and an existing output schema, the description provides sufficient context for correct invocation. It covers essential usage, defaults, and examples. Slightly incomplete regarding output behavior, but the output schema handles that.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds significant meaning to each parameter beyond the schema: e.g., explains depth's effect on time, js_crawl enables headless browser, scope restricts via regex. Despite schema coverage being 0%, the description compensates well. Minor improvement: could specify that additional_args expects quoted string.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Execute Katana for web crawling with JavaScript parsing support.' It highlights the key differentiator (headless browsing, JS rendering) that distinguishes it from sibling crawling tools like gobuster or httpx.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains what the tool does and its parameters but does not explicitly guide when to use it over alternatives. Usage context is implied through the emphasis on JS rendering and dynamic content, but no direct comparisons or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavior. It discloses that the tool checks status, which is a read-only operation, but lacks details on side effects or output format. However, the presence of an output schema likely covers return values.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with no wasted words; every part is essential.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (zero parameters, output schema provided), the description is complete enough. It tells the agent exactly what the tool does without needing further elaboration.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so the baseline is 4. The description does not need to add parameter info, and it is fully covered by the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('check') and the resource ('CTF platform connection status'), and it distinguishes the tool from siblings like 'ctf_connect' or 'ctf_list_challenges'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit usage guidelines or exclusions are provided, but the purpose implies it is used to check connectivity before other CTF operations.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions streaming and real-time output but fails to disclose important behavioral traits such as whether the command is sandboxed, what user context it runs under, potential destructive side effects, or any authentication requirements. This is a significant gap for a tool that executes arbitrary commands.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with no wasted words. It opens with a clear one-sentence purpose, includes technical detail (API endpoint, streaming parameter), provides usage suggestions, and then documents parameters. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that an output schema exists (though not provided in this evaluation), the description's mention of 'streaming output collected in real-time with all events' is sufficient to set expectations. The tool has only two parameters and a straightforward purpose, so the description covers the essential context. However, it could be slightly more precise about the output format details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds substantial meaning beyond the input schema, which has 0% description coverage. It fully describes both parameters: 'command: The command to execute' and 'timeout: Timeout in seconds (default: 3600 = 1 hour)'. This helps the agent understand the format and default value of timeout, which the schema only provides as a type and default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool executes a command with real-time streaming output via SSE. It specifies the action ('Execute a command'), the resource ('command'), and the output format. It also provides examples of use cases like nmap, nuclei, and fuzzing, which distinguish it from sibling tools that target specific tasks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Useful for long-running commands like nmap, nuclei, fuzzing,' which guides when to use this tool. However, it does not mention when not to use it or provide explicit alternatives, leaving some ambiguity for the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It indicates the tool retrieves status information (likely read-only), but does not explicitly state if it is safe or has side effects. More details on behavior (e.g., rate limits, error handling) would improve clarity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise and front-loaded. It uses a single sentence for purpose, followed by clearly formatted Args and Returns. Every sentence is necessary and no words are wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given a simple tool with one optional parameter and an output schema existing, the description is mostly complete. It states returns are 'Status information for reverse shell sessions', which is adequate with an output schema. Could be slightly more specific about possible status values, but overall sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It does so effectively by explaining the parameter: 'Optional specific session ID to check (if empty, shows all sessions)'. This adds significant meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool gets the status of reverse shell sessions, which is a specific verb-resource pair. Among sibling tools like reverse_shell_listener_start, reverse_shell_command, etc., it is distinct and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not provide explicit guidance on when to use this tool versus alternatives. It only implies usage by describing the optional session_id parameter. There is no mention of prerequisites or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It explains the scanning behavior (probe, enumerate) but lacks details on side effects (e.g., network traffic, log footprint, output format). With zero annotations, more depth is expected for a 4.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Description is concise (6-7 sentences) with a logical structure: purpose, behavior, then parameter list with examples. No redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool is simple (3 parameters) and output schema exists, so description is largely complete. It covers purpose, parameters, examples, and use cases. Could mention network requirements or potential noise, but overall sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description must compensate. It thoroughly explains each parameter: target (hostname/IP), port (default 443), additional_args with examples. Examples show multiple usage patterns, fully compensating for lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it executes sslscan to test SSL/TLS ciphers and certificate configuration, enumerating cipher suites, protocols, and certificate details. It distinguishes from sibling tools like tools_nmap (general port scanning) and tools_ssh_audit (SSH-specific).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description implies usage for TLS security assessments by listing use cases (weak ciphers, expired certs, misconfiguration) but does not explicitly state when not to use or compare to alternatives. No exclusion or guidance on prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations, so description carries full burden. It discloses the tool is a check (read-only) but doesn't explicitly state non-destructive nature. However, for a simple status tool this is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
One concise sentence, front-loaded with the key action and resource, no unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool is simple (0 params, output schema exists). Description adequately covers what the tool does; no missing critical information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters, so schema coverage is 100%. Description adds no parameter info, but baseline for 0 params is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the verb 'Check', resource 'which AD tools', and context 'on the Kali server'. It distinguishes from sibling tools that perform specific AD attacks or operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit instructions on when to use or alternatives. Implied usage is before running other AD tools, but no guidance on when not to use or what prerequisites exist.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral disclosure burden. It describes the return data but does not mention any side effects, access restrictions, or limitations. For a read-only lookup tool, this is minimally adequate but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise, consisting of a single sentence for purpose, a bullet list of return items, and a parameter explanation. No unnecessary language or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema (context says true) and a single input parameter, the description provides sufficient context: it lists the return contents and explains the parameter. It could mention expected behavior if the challenge_id is invalid, but overall it's complete for this simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema coverage is 0%, but the description adds meaning: 'The numeric challenge ID (from ctf_list_challenges)'. This tells the agent where to obtain the parameter value, compensating for the lack of schema documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Get full details for a specific CTF challenge.' It lists the types of information returned (description, files, hints, connection info, solve status), distinguishing it from sibling tools like ctf_list_challenges and ctf_submit_flag.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates when to use the tool (after listing challenges, as the argument comes from ctf_list_challenges). It does not explicitly state when not to use it or suggest alternatives, but the context is clear enough for an AI agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must cover behavioral traits. It mentions return fields and prerequisite, but lacks details on side effects, rate limits, or error conditions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short paragraphs, front-loaded purpose, no redundant information. Every sentence provides useful context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Describes return fields (names, categories, points, solves) and prerequisite. Output schema exists but not shown; description suffices for a simple list tool. Missing pagination/ordering, but acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but description adds value by explaining the category parameter with examples ('e.g. 'web', 'crypto', 'forensics'), beyond the schema's type and default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'List all available CTF challenges' and specifies return fields. Distinguishes from sibling CTF tools like ctf_get_challenge by being a list operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states prerequisite: 'Requires a prior ctf_connect() call.' Mentions optional category filter. No explicit when-not-to-use, but context is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description provides useful behavioral details: no restart required, managed section for independent listing/removal/clearing. However, it omits potential side effects like overwriting existing entries, permission requirements, or validation of input.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured: purpose, benefits, arguments with format, return description, and examples. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (two required parameters, no nested objects, output schema exists), the description covers the key aspects. It explains the operation, effects, and usage. Missing minor details like error handling or duplicate handling, but overall adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, so the description compensates well. It explains 'ip' as a target IP with an example, and 'hostnames' as space or comma separated names with examples. This adds significant meaning beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool adds hostname(s) to /etc/hosts. It uses a specific verb ('Add') and resource ('/etc/hosts on the Kali container'), and the sibling tool names (hosts_clear, hosts_list, hosts_remove) differentiate this from related operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains that no container restart is needed and that entries are tracked in a managed section for independent management. It implies use for adding hostnames, while siblings handle other actions. However, it lacks explicit when-not-to-use or alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Given no annotations, the description provides good behavioral context: only affects managed section, leaves system entries intact. It mentions return value and provides an example, though lacks details on edge cases like removing non-existent hostname.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, uses clear structure (Args, Returns, Example), and front-loads the core purpose. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter tool, the description covers the purpose, behavior, and provides an example. It mentions return content. Minor gap: no error handling info, but acceptable given the output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema coverage, the description compensates by providing the parameter name, an example value, and context. It adds meaning beyond the schema, though could specify format constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool removes a hostname from managed /etc/hosts entries, distinguishing it from siblings like hosts_add. It specifies the resource and action, and clarifies that system entries are untouched.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this tool is for removing specific managed entries, but does not explicitly contrast with hosts_clear or other hosts tools. No guidance on when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It implies a read-only operation but does not explicitly state safety or side effects. For a simple list command, this is adequate but minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no wasted words. It quickly conveys the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of the tool and the presence of an output schema, the description is sufficient. It could mention what 'active' means but is otherwise complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the description does not need to add parameter meaning. Per guidelines, baseline is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List') and the resource ('all active tunnels and port forwards'). It distinguishes from sibling tools like 'pivot_list_pivots' which lists pivots, not tunnels.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The purpose is clear enough that usage is obvious (to see current active tunnels). However, no explicit guidance on when to use vs. alternatives (e.g., pivot_list_pivots).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Describes that it runs HTTP and DNS servers, and returns status with port and IP info. However, it does not mention that listeners run in background or need to be stopped explicitly, nor any resource implications. With no annotations, a bit more detail on lifecycle would improve transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Very concise and front-loaded. First sentence captures core function, then expands with context, params, return, and example. No filler or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, usage, parameters, return value, and example. With an output schema present, return info is sufficient. Lacks mention of background execution or need for cleanup, but overall complete for starting a listener.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Despite zero schema description coverage, the description fully explains each parameter with defaults and usage context (e.g., bind_ip hint to use tun0). Examples further clarify invocation. Schema only provides names and defaults, so description adds all necessary meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states it starts HTTP and DNS listeners to capture out-of-band callbacks, clearly distinguishing from sibling callback tools like callback_check or callback_stop. It also differentiates from webhook.site by specifying when to use this tool (no internet access).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance to use instead of webhook.site when target has no internet access. Does not explicitly mention when not to use, but context implies alternatives. Could add more about prerequisites or state management.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It correctly indicates a read-only operation by describing return values and lacks side effects, but does not explicitly state non-destructive behavior or any prerequisites.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is highly concise: three sentences plus an example. It front-loads the purpose and efficiently covers return details without waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, zero-parameter tool, the description fully covers its behavior (returning a status dict with running state, ports, and counts). The presence of an output schema is implied by the context signals, so the description does not need to elaborate further.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the input schema covers them 100%. The description adds no parameter details, which is acceptable given the baseline of 4 for zero-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Get the current status of the callback catcher' and lists specific return values (running state, ports, HTTP and DNS callback counts). It effectively differentiates from sibling tools like callback_check or callback_latest by focusing on overall status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for use (checking if listeners are running and viewing callback counts), but does not explicitly mention when not to use it or suggest alternatives like callback_check or callback_latest.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description mentions it returns CVSS scores, descriptions, references, and weakness classifications, but does not disclose any behavioral traits like rate limits, authentication needs, or side effects. Since no annotations exist, the description could be more explicit about being read-only.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with clear sections, no redundant information, and front-loaded with the main purpose. Every sentence adds value, including the args list and examples.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has an output schema, the description does not need to detail return values. It covers parameters and usage well, but could briefly mention that results are from NVD, which it does. The description is sufficiently complete for agent use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All three parameters (keyword, cve_id, results_per_page) are clearly explained with examples and behavior (e.g., cve_id overrides keyword). This adds significant meaning beyond the input schema, which lacks descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it searches the NVD for CVEs, specifying query types like keyword, CVE ID, or product name. This clearly distinguishes it from sibling tools like cve_package_audit or exploit_search, which have different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes when to use the tool (to search for CVEs) and provides examples. However, it lacks explicit guidance on when not to use it or alternatives, though the purpose is clear enough for an agent to decide.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It discloses that the tool uses searchsploit and returns a list of matching exploits with EDB IDs. It does not mention side effects or permissions, but for a search tool, this is adequate. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is brief and front-loaded with the main purpose. It lists arguments and return value concisely, with no unnecessary words. Every sentence serves a purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose, parameters, and return format. It could mention that it searches a local searchsploit database, but output schema existence reduces the need for detailed return info. Overall, complete enough for use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must explain parameters. It does so fully: query is described as 'Search term (service name, CVE, software version, etc.)' and exact as 'Use exact matching (default: False)', adding meaning beyond the schema's type and default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Search for exploits using searchsploit', specifying the verb and resource. It distinguishes from sibling tools like exploit_details and exploit_suggest_*, which are for different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for searching exploits but does not explicitly guide when to use this tool versus alternatives like exploit_suggest_for_service or exploit_suggest_from_nmap. No exclusions or context provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses key behaviors: Masscan is fast, uses asynchronous SYN packets, and high rates may overwhelm networks or trigger IDS. However, it does not mention required permissions, whether the tool is read-only, or potential destructive effects beyond network load. The description is adequate but leaves gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with a brief intro, structured arg list, and three practical examples. Every sentence adds value, no redundancy, and it is optimally front-loaded with the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers usage, parameters, and examples well. However, it does not describe the tool's return value or output format, even though an output schema exists. Given the tool's complexity, this is a minor gap, but overall it is fairly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema descriptions are absent (0% coverage), but the tool description provides thorough explanations for all four parameters: target (format), ports (ranges/lists/mixed), rate (values and impact), and additional_args (examples like --banners). This fully compensates for the schema gap, adding significant meaning beyond basic types and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool executes Masscan for fast port scanning across large IP ranges. It clearly differentiates Masscan from other scanners like Nmap by highlighting its speed and capability to scan the entire internet. The purpose is unambiguous and well-defined.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use the tool (fast port scanning over large ranges) and includes example invocations. However, it does not explicitly state when not to use it or directly compare to sibling tools like tools_nmap, though the context is implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the internal mechanism (wg show, PID file) and the return structure. It does not mention any side effects or authentication needs, but these are not critical for a read-only status check.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with three sentences plus an example. It front-loads the purpose and provides essential details without unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The output schema exists, but the description still explains the return values. It covers the tool's functionality, sources, and output structure. For a simple zero-parameter tool, this is complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and schema coverage is 100% trivially. According to guidelines, baseline score is 4. The description adds no parameter info because none exists.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves status of all active VPN connections, specifying both WireGuard and OpenVPN sources. It distinguishes itself from sibling tools like vpn_connect and vpn_disconnect.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool versus alternatives. However, it is the only status-related VPN tool, so the context is clear. No exclusion criteria or prerequisites are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses the read-only nature (list), ordering, filtering, and return structure. However, it does not mention whether the list is persistent or if calling this has any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, front-loaded with purpose, followed by behavior, parameters, return value, and an example. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema existence (implied by the return description) and low complexity, the description covers all necessary context: parameters, filtering, ordering, and content of returned entries.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description fully compensates by explaining both parameters: 'limit' (max entries) and 'callback_type' (valid values 'http', 'dns', 'all'). This adds meaning beyond the schema's type and default.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'list' and the resource 'captured callbacks from the local catcher'. It also specifies ordering ('newest first') and filtering options, making the tool's purpose distinct from sibling callback tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains how to filter by type but does not provide guidance on when to use this tool versus siblings like 'callback_latest' or 'callback_check'. No explicit when-not-to-use context is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses key behaviors: it disconnects, brings down interface, or kills daemon. It does not mention prerequisites or side effects, but is adequate for a straightforward disconnect operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with clear sections (heading, Args, Returns, Example). It is concise with no redundant information, and front-loaded with the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose, parameters, return structure (with output schema present), and examples. For a simple tool, it provides complete contextual information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description fully explains both parameters (interface, vpn_type) with defaults, allowed values, and examples. This adds significant value over the schema's titles.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool disconnects from a VPN tunnel and explains the mechanisms (brings down WireGuard interface or kills OpenVPN process). This distinguishes it from siblings like vpn_connect and vpn_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use vs alternatives (vpn_connect, vpn_status). The usage is implied by the name, but the description does not specify contexts or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that payloads include unique identifiers for tracking and are captured by the callback catcher. No annotations provided, so description carries the full burden. Mentions creation but not side effects; still sufficiently transparent for a generation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Efficient structure: summary line, short overview, then args and return sections. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, parameters, and behavior well. Has output schema, so detailed return format is not required. Some minor gaps like output examples beyond 'unique identifiers', but overall complete for a generation tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description explains all four parameters in detail: listener_ip (your Kali IP), http_port (default 8888), dns_port (default 5353), and payload_type with options (url, curl, xxe, ssrf, dns, all). Adds significant meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it generates callback payload URLs and commands for injection testing, distinguishing it from sibling tools like callback_check or callback_list which monitor results.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides clear context for use (injection testing) and describes payload types, but does not explicitly state when to avoid using this tool in favor of alternatives. However, the sibling tools list implies that callback_check etc. are for verification after generation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries full burden. It details connection behavior, including SSL verification and platform type selection. However, it does not disclose session management or error handling, though overall it is transparent enough for a setup tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured, front-loading the purpose, then listing args with clear explanations, and ending with an example. Every sentence is useful and there is no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a connection/setup tool, the description covers the required details: platforms, parameters, and prerequisite status. It could mention success/failure behavior or that token is optional, but overall it is sufficient given the output schema likely handles return values.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but the description provides detailed explanations for each parameter, including examples, platform-specific token generation, and defaults. This adds significant meaning beyond the schema types.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool connects to a CTF platform and authenticates. It explicitly lists supported platforms (CTFd, rCTF) and notes it is a prerequisite for other ctf_* tools, distinguishing it from siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Must be called before using other ctf_* tools,' providing clear when-to-use guidance. However, it does not mention scenarios when not to use (e.g., if already authenticated) or alternative authentication methods, leaving minor room for improvement.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description discloses key behavioral aspects: non-blocking execution in a background thread, waiting, and returning session status. However, it omits potential pitfalls such as required active session or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences plus a parameter list, front-loads the purpose, and contains no extraneous information. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists, the description need not detail return values, but it provides a summary. It lacks an example payload_command or additional context on typical usage, but covers most essentials.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description provides a full parameter list with purposes and defaults (timeout=10, wait_seconds=5), compensating for the 0% schema description coverage. Each parameter's role is clearly explained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Send' and the resource 'payload command to trigger a reverse shell connection', distinguishing it from other reverse shell tools that generate payloads or start listeners.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use after a listener is started (session_id) and explains the non-blocking execution and status verification, but does not explicitly state when not to use it or list alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description does a good job disclosing key behaviors: it sends input to stdin of any active session, includes a session_type hint, and details the return format. It could be improved by mentioning if the call is blocking or any concurrency concerns, but overall it is sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a clear header, usage steps, parameter list, and return info. It is concise with no unnecessary words, delivering high information density in a compact format.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and the presence of an output schema (which the description summarizes), the description covers the essential workflow and parameters. It explains the cooperation with read_output and the return values. A minor omission is not explicitly stating that the session must remain active, but this is implied. Overall, it is nearly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, but the description fully compensates with an Args section explaining all three parameters: session_id, input_text (including trailing newline advice), and session_type (default 'auto', other values listed). This adds significant meaning beyond the schema's type/title only.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Send text input' and the resource 'active interactive session', listing examples like msfconsole, SSH, etc. It explicitly distinguishes itself as a generic primitive working with ANY session type, not just Metasploit, which differentiates it from sibling tools like msf_session_execute.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides explicit usage guidance by outlining a three-step workflow with read_output() and explains that it works for any session type. However, it does not explicitly mention when not to use this tool or list alternatives beyond read_output.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the underlying technology (headless Chrome) and the non-destructive nature of the operation (screenshot). However, with no annotations, it could further clarify safety (e.g., read-only) and error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured: a purpose statement, technology detail, use cases, parameter list with examples. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose, usage, and parameters adequately for a simple screenshot tool. Output schema is present, so return format is not required. Could discuss prerequisites or error handling, but not essential.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All four parameters are explained with descriptions and examples, compensating for the 0% schema description coverage. The description provides meaningful context beyond just types and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it captures a screenshot of a web page using gowitness, with specific use cases for visual reconnaissance and documentation. It distinguishes itself from sibling tools like tools_nmap or tools_gobuster, which are for network scanning.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use for visual reconnaissance but does not explicitly state when to use this tool versus alternatives. It provides context by listing use cases, but no exclusions or comparisons to similar tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description adequately discloses full root access, no timeout limits (default 1 hour), return format, and fire-and-forget behavior. It does not mention danger or side effects, but the 'without restrictions' statement provides openness.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise (3 sentences plus bullet-like args and returns). It could be more structured with explicit sections, but remains clear and free of fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists (though not shown), the description covers all necessary aspects: purpose, parameters, return values, and behavior. For a generic execution tool, this is complete and sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% parameter descriptions, so the description carries full burden. It explains each parameter (command: any shell command; timeout: default 3600; cwd: optional directory; background: fire-and-forget with task_id), adding significant value beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it executes any command on the Kali server with root access and no restrictions. It is distinct from sibling tools which are specific (e.g., nmap, hydra), leaving no ambiguity about its generic purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this tool is for raw command execution when specific tools are not appropriate. However, it does not explicitly state when to use or avoid this tool versus alternatives, nor does it mention prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that the tool searches both HTTP paths and DNS query names, explains parameter behavior (empty string matches all), and mentions the default time window. It does not cover rate limits or auth, but as a read-only check, this is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with a brief intro, clear parameter explanations, return format, and examples. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity and the presence of an output schema (not shown but noted), the description is complete. It explains purpose, parameters, return structure, and provides examples, leaving no ambiguity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description fully compensates by explaining the 'identifier' parameter as a substring to match and 'since_minutes' as the time window. It also includes practical examples demonstrating usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks if callbacks matching an identifier have been received, and specifies it searches HTTP paths and DNS query names. It distinguishes from siblings like callback_list and callback_latest by focusing on matching specific identifiers.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Useful after injecting a payload to see if the target called back,' providing a clear use case. While it doesn't mention alternatives, the context is sufficient for selection among related tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that only stored data is cleared, listeners continue running, and returns confirmation with count. No annotations to conflict, but could mention permanence.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences plus example, no wasted words. Front-loaded purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Complete for a simple clear operation with output schema implied: explains what it clears, what stays, and the return value.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist; schema coverage is 100%. Description adds no parameter info, but none needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states 'Clear all captured callbacks from the catcher's memory' with specific verb and resource. It distinguishes from siblings like callback_stop by noting listeners continue running.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Description implies usage for clearing stored callbacks without stopping listeners, but lacks explicit when-not or alternatives beyond the sibling context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description fully discloses the polling behavior (checks every 2 seconds), timeout, and blocking nature. It could be more explicit about the tool being blocking until a callback arrives or timeout, but the information is still sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise, well-structured with Args, Returns, and an Example section. Every sentence provides value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of an output schema, the description's mention of the return type (new callback entry or timeout message) is sufficient. The example demonstrates typical usage, and the tool is simple enough that no further detail is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning to both parameters beyond the schema: timeout_seconds is explained as maximum wait time with default 60, and callback_type has its possible values ('http', 'dns', 'all') listed. This compensates for the 0% schema description coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Wait for a new callback to arrive at the local catcher.' It distinguishes from sibling callback tools by emphasizing the waiting/polling behavior, which is unique among the set of callback tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains the polling mechanism and timeout, indicating when to use (to wait for a callback). However, it does not explicitly contrast with sibling tools like callback_check or callback_latest, which could provide clearer guidance on alternative uses.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It discloses that the tool queries the OSV database, supports version-specific queries, returns all known vulnerabilities if version omitted, and can auto-detect ecosystem. It does not mention any destructive behavior or authentication needs, which is appropriate for a read-only lookup tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured with an introductory sentence, an explanatory paragraph, an 'Args' section with clear parameter descriptions, and example usages. It is concise yet comprehensive, with no unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity and the presence of an output schema (not shown), the description covers all necessary aspects: purpose, parameters, behavior, and examples. It does not need to explain return values because the output schema is available.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description provides detailed explanations for all three parameters (package, version, ecosystem), including examples of usage. This adds significant meaning beyond the schema, which lacks parameter descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks a specific software package for known vulnerabilities using OSV.dev. It specifies the verb 'Check' and resource 'software package', and distinguishes from sibling tools like cve_search (which likely searches by CVE ID).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use it (to check a package for vulnerabilities) and provides context for optional parameters. It does not explicitly state when not to use it, but the sibling tools list suggests this is the appropriate tool for package vulnerability scanning. No alternative is named, but the specificity is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses that system entries are never touched and that only the managed section is cleared. Mentions return value (count). With no annotations, this covers key behavioral aspects, though missing details on permissions or side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Extremely concise with four short sentences, each serving a purpose: action, clarification, use case, and return value. Effectively front-loaded with the main action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Fully covers the tool's purpose, behavior, return value, and example. Given the tool's simplicity and no output schema, the description is complete and informative.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so schema coverage is trivially 100%. The description adds value by explaining the scope and effect of the operation beyond the empty schema, meeting the baseline of 4 and exceeding with contextual detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description explicitly states the tool removes all managed /etc/hosts entries, clarifying it only affects the Kali-MCP managed section. It differentiates from siblings like hosts_remove by being a bulk clear operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides a clear use case ('switching to a completely new target'). Does not explicitly mention when not to use or alternatives, but the context is sufficient for an agent to infer.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description transparently notes that parsing happens locally with no backend call. It also clarifies supported tools. However, it does not address error handling for unsupported tools or malformed input.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured: a one-sentence summary, a brief explanation, a note on local execution, and a clear Args block. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the moderate complexity (3 parameters, no nested objects, output schema exists), the description covers the tool's purpose, parameters, and key behavior. It is complete enough for an agent to decide when and how to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The Args section provides detailed descriptions for each parameter (output, tool_name, output_format) beyond the schema's type-only definitions, including possible values and defaults. Schema coverage is 0%, so description fully compensates.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Parse raw security tool output into structured JSON.' It specifies the types of tools (nmap, nuclei, gobuster) and distinguishes itself from sibling tools that run these tools rather than parse their output.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use (when you have raw output from supported tools) and mentions local parsing, but does not explicitly state when not to use or mention alternatives from sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It discloses actions (places config, brings tunnel up, returns IP) and auto-detection behavior, but does not mention side effects or prerequisites.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Well-structured with clear sections for Args, Returns, and Example. No wasted words; concise yet comprehensive.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the output schema exists and the description mentions return values (success, IP, interface, type), and all parameters are documented, the description is complete for a connection tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so description compensates fully. Each parameter is explained with usage, default values, and type detection logic, adding significant meaning beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool connects to a VPN (WireGuard or OpenVPN) with a single call, specifying the verb (connect) and resource (VPN). It distinguishes from siblings vpn_disconnect and vpn_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explains the process and result of the tool, but does not explicitly state when to use this vs alternatives. However, the context from sibling tools makes usage clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that both HTTP and DNS listeners are shut down, sockets are closed, and callbacks remain in memory. With no annotations provided, this fully covers behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with 5 sentences, front-loading the core purpose. It includes return information and an example with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given zero parameters and an output schema, the description adequately explains the tool's action, side effects, and return value. No further detail is necessary.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so the description needn't add parameter meaning. Baseline score of 4 applies as no parameter information is required.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool stops the local callback catcher and cleans up listeners. It uses a specific verb (stop) and resource (callback catcher), distinguishing it from siblings like callback_start and callback_clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The context of use is clear—after starting the callback catcher—but it doesn't explicitly mention when not to use it or directly contrast with callback_clear for memory cleanup, though it notes callbacks remain in memory.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior5/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. Explains timeout behavior (waits and returns available output, possibly empty), buffering of lines, and return structure. Fully transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Well-structured: one-sentence summary, followed by workflow, parameter descriptions, and return format. Every sentence earns its place; no fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given complexity, description covers behavior, parameters, workflow, and return structure. No gaps; sufficient for an agent to use correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage, but description explains all three parameters (session_id, timeout, lines) with meaning, defaults, and usage tips (e.g., higher timeout for slow commands). Adds significant value beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool reads/polls output from active interactive sessions by ID, specifying the verb, resource, and scope. It distinguishes from sibling tools like send_input, which sends input.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides a typical workflow (send_input then read_output) and lists supported session types. Does not explicitly mention when not to use or compare to similar tools like exec_stream, but the workflow guidance is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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