Bug Bounty MCP Server

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation3/5
The tools cover distinct security tools and workflows (e.g., amass_scan for subdomain enumeration, nuclei_scan for vulnerability scanning), but there is significant overlap in purpose. For example, dirb_scan, dirsearch_scan, feroxbuster_scan, and gobuster_scan all perform directory/file discovery, which could confuse an agent. Similarly, nmap_scan and nmap_advanced_scan are redundant, and multiple tools handle subdomain enumeration (amass_scan, dnsenum_scan, fierce_scan, subfinder_scan). Descriptions help differentiate, but the overlaps are substantial.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (e.g., amass_scan, dnsenum_scan, nuclei_scan), which is clear and predictable. However, there are minor deviations: some tools use underscores inconsistently (e.g., bugbounty_business_logic_workflow lacks underscores in 'bugbounty'), and a few tools have longer, more descriptive names (e.g., bugbounty_comprehensive_assessment). Overall, the naming is mostly consistent and readable, with only slight variations.
Tool Count2/5
With 40 tools, the count is excessive for a bug bounty server, leading to bloat and potential confusion. Many tools are redundant (e.g., multiple directory scanners, multiple subdomain enumerators) or could be consolidated into broader workflows. A well-scoped server for this domain should typically have 10-20 tools to cover core functionalities without overwhelming the agent. The high number suggests poor scoping and unnecessary fragmentation.
Completeness5/5
The tool set is highly complete for bug bounty hunting, covering all major aspects: reconnaissance (e.g., subdomain enumeration, crawling), vulnerability scanning (e.g., XSS, SQL injection, WAF detection), workflow creation (e.g., business logic testing, OSINT), and AI-enhanced features (e.g., analyze_target, optimize_parameters). There are no obvious gaps; agents have tools for every stage from target analysis to comprehensive assessment, ensuring no dead ends in typical workflows.
Average 2.8/5 across 40 of 40 tools scored. Lowest: 1.7/5.
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 status not available
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 carries full burden for behavioral disclosure. It mentions 'enhanced logging' but provides no details about what this means, what output to expect, whether it's resource-intensive, what permissions are needed, or any rate limits. The description is insufficient for understanding 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently states the tool's basic function. While it lacks detail, it doesn't waste words and gets straight to the point without unnecessary elaboration.
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 a crawling tool with 6 parameters, no annotations, and sibling tools in the same domain, the description is incomplete. While an output schema exists (which helps with return values), the description fails to provide essential context about when to use this tool, what makes it 'next-generation', or how it differs from other crawling options.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage for 6 parameters, the description provides no information about any parameters. It doesn't mention the required 'url' parameter, the depth setting, form extraction, JavaScript crawling, output format options, or additional arguments. The schema must carry all parameter documentation burden.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose2/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Execute Katana for next-generation crawling and spidering with enhanced logging' which provides a verb ('Execute') and resource ('Katana'), but is vague about what Katana actually does (crawling/spidering tool) and doesn't distinguish it from sibling crawling tools like hakrawler_crawl. It uses marketing language ('next-generation') rather than concrete functional description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines1/5
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. There are multiple sibling tools for crawling (hakrawler_crawl) and reconnaissance, but no indication of when Katana is preferred, what scenarios it's designed for, or any prerequisites for its 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'create' but doesn't clarify if this is a read-only planning tool or an executable workflow, what outputs or actions result, or any constraints like rate limits or permissions. The description is too high-level to inform the agent about the tool's operational 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 a single, concise sentence that front-loads the core action ('Create comprehensive reconnaissance workflow'). It avoids unnecessary words, but its brevity contributes to vagueness rather than clarity, as it lacks detail needed for effective tool use.
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 implied by 'workflow' creation, 4 parameters with 0% schema coverage, no annotations, and an output schema (which the description doesn't reference), the description is incomplete. It doesn't explain what the tool outputs, how parameters interact, or behavioral traits, leaving significant gaps for the agent to infer 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 the schema provides no parameter details. The description adds no information about parameters like 'domain,' 'out_of_scope,' 'program_type,' or 'scope,' leaving their purposes and formats unexplained. This fails to compensate for the lack of schema documentation, making parameter usage ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Create[s] comprehensive reconnaissance workflow for bug bounty hunting,' which provides a general purpose (creating workflows) and domain context (bug bounty reconnaissance). However, it's vague about what constitutes a 'workflow' and doesn't distinguish it from sibling tools like 'bugbounty_osint_workflow' or 'analyze_target,' which may overlap in reconnaissance activities.
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 is provided on when to use this tool versus alternatives. The description implies usage for bug bounty reconnaissance but doesn't specify scenarios, prerequisites, or exclusions. With many sibling tools focused on scanning and analysis, the lack of differentiation leaves the agent without clear 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?
No annotations are provided, so the description carries the full burden. It mentions 'create' and 'workflow,' implying a generative or planning operation, but fails to disclose behavioral traits such as whether it's read-only, destructive, requires specific inputs beyond the schema, or how it interacts with other tools. This is a significant gap for a tool with no annotation coverage.
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 a single, efficient sentence that front-loads the core action ('Create vulnerability hunting workflow'). It avoids unnecessary words, though it could be more structured by explicitly separating purpose from parameters or context.
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 (a workflow creation tool with 3 parameters, no annotations, and an output schema), the description is incomplete. It lacks details on behavior, parameter usage, and differentiation from siblings. While the output schema may cover return values, the description does not provide enough context for effective tool selection and invocation in a crowded toolset.
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 does not explain any parameters—'domain,' 'bounty_range,' or 'priority_vulns'—leaving their meanings, formats, or usage unclear. For example, it's unknown if 'priority_vulns' expects a list, how 'bounty_range' affects prioritization, or what 'domain' entails. This inadequately addresses the parameter documentation gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Create vulnerability hunting workflow prioritized by impact and bounty potential,' which provides a general purpose (creating workflows for vulnerability hunting) but lacks specificity about what the workflow entails or how it differs from similar tools like 'bugbounty_reconnaissance_workflow' or 'bugbounty_comprehensive_assessment.' It's vague about the exact verb and resource involved.
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. With many sibling tools focused on scanning, reconnaissance, and assessment, the description does not specify contexts, prerequisites, or exclusions for this workflow creation tool, leaving the agent without clear 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?
No annotations are provided, so the description carries the full burden. It mentions 'enhanced logging' but does not disclose critical behavioral traits such as whether it's read-only or destructive, rate limits, authentication needs, or output format. For a tool with 6 parameters and no annotations, this is a significant gap in 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 a single, efficient sentence with no wasted words. It is appropriately sized and front-loaded, stating the core action clearly, though it could be slightly more informative 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 (6 parameters, 0% schema coverage, no annotations) and the presence of an output schema, the description is incomplete. It fails to explain parameters, behavioral traits, or usage context, making it inadequate for an agent to effectively use this tool despite the output schema.
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 schema provides no parameter details. The description does not explain any parameters, their meanings, or how they affect the scan (e.g., what 'extensions' or 'wordlist' do). With 6 parameters, this leaves the agent guessing about their semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute[s] Dirsearch for advanced directory and file discovery with enhanced logging,' which clarifies it performs directory/file discovery using Dirsearch. However, it lacks specificity about what makes it 'advanced' or distinguishes it from similar sibling tools like dirb_scan, feroxbuster_scan, or gobuster_scan, making the purpose somewhat vague.
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. With multiple sibling tools for directory/file discovery (e.g., dirb_scan, feroxbuster_scan, gobuster_scan), there is no indication of scenarios, prerequisites, or trade-offs, leaving the agent without 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 carries full burden. It mentions 'advanced vulnerability scanning' but doesn't disclose behavioral traits like execution time, resource usage, output format, or potential side effects (e.g., network impact). This is inadequate for a tool with 6 parameters and no annotation coverage.
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 a single, efficient sentence with no wasted words. It's front-loaded with the core action, though it could be more structured with additional context. Every word earns its place, but brevity limits 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 complexity (6 parameters, 0% schema coverage, no annotations) and an output schema, the description is incomplete. It doesn't cover parameter meanings, usage scenarios, or behavioral aspects, relying too heavily on the output schema without providing necessary context for tool selection and invocation.
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 doesn't explain any parameters beyond implying 'custom signatures' relates to the 'signatures' parameter. No details on 'url', 'threads', 'timeout', etc., are provided, failing to add meaningful semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute[s] Jaeles for advanced vulnerability scanning with custom signatures,' which provides a clear verb ('Execute') and resource ('Jaeles'), but it's vague about what Jaeles is and doesn't differentiate from siblings like 'nuclei_scan' or 'nikto_scan' that also perform vulnerability scanning. It lacks specificity in scope or unique features.
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. With many sibling tools for scanning (e.g., 'nuclei_scan', 'sqlmap_scan'), the description doesn't mention context, prerequisites, or exclusions, leaving the agent 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 behavioral disclosure. It mentions 'enhanced logging' which hints at output behavior, but fails to describe critical traits: whether this is a read-only or destructive operation, what permissions or prerequisites are needed, rate limits, or what the output entails (e.g., file generation, console output). For a tool with 5 parameters and no annotations, this is a significant gap in 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 a single, efficient sentence that is front-loaded with the main action. It avoids unnecessary words, though it could be more structured by separating purpose from features. The brevity is appropriate, but the lack of detail reduces its overall utility.
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 (5 parameters, 0% schema coverage, no annotations) and the presence of an output schema, the description is incomplete. It doesn't explain parameter meanings, usage context, or behavioral traits, relying solely on the output schema for return values. For a tool with multiple parameters and no annotation support, this leaves too many gaps for the agent to operate 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?
Schema description coverage is 0%, so the schema provides no parameter descriptions. The tool description does not mention any parameters, leaving all 5 parameters (domain, level, exclude, output, additional_args) undocumented. This forces the agent to guess based on titles alone, which is inadequate for effective tool invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute[s] ParamSpider for parameter mining from web archives' which provides a clear verb ('Execute') and resource ('ParamSpider'), but it's vague about what 'parameter mining' entails and doesn't distinguish it from sibling tools like 'arjun_parameter_discovery' or 'x8_parameter_discovery' that also handle parameter discovery. The 'enhanced logging' addition is somewhat specific but doesn't clarify the core functionality enough.
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 mentions 'parameter mining from web archives' but doesn't specify scenarios, prerequisites, or exclusions compared to siblings like 'gau_discovery' or 'waybackurls_discovery' that might overlap in web archive usage. This leaves the agent without 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 carries the full burden of behavioral disclosure. It mentions 'enhanced logging', which hints at output behavior, but doesn't describe what the tool actually does beyond execution—such as whether it performs network requests, requires internet access, has rate limits, or what 'historical URL discovery' entails (e.g., fetching archived URLs from Wayback Machine). This leaves significant gaps in understanding the tool's operational 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 a single sentence that is front-loaded with the main action ('Execute Waybackurls for historical URL discovery') and adds a supplementary feature ('with enhanced logging'). It's concise with no wasted words, though it could be more structured by explicitly separating purpose from features. The brevity is appropriate but risks under-specification.
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 (a discovery tool with 4 parameters), no annotations, and an output schema (which exists but isn't detailed here), the description is incomplete. It lacks essential context: what the tool does operationally, how parameters influence it, and how it differs from siblings. While the output schema might cover return values, the description fails to compensate for the missing behavioral and parametric details, making it inadequate for informed tool selection.
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%, meaning none of the 4 parameters (domain, additional_args, get_versions, no_subs) are explained in the schema. The description adds no parameter semantics—it doesn't mention any parameters, their purposes, or how they affect the tool's behavior. For example, it doesn't clarify what 'no_subs' or 'get_versions' do, leaving the agent to guess based on parameter names alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute[s] Waybackurls for historical URL discovery', which provides a verb ('Execute') and resource ('Waybackurls') with a purpose ('historical URL discovery'). However, it's vague about what 'Waybackurls' specifically is (likely a tool or command) and doesn't clearly distinguish it from sibling tools like 'gau_discovery' or 'paramspider_mining' that might also involve discovery. The phrase 'with enhanced logging' adds a feature but doesn't clarify the core function beyond the name.
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 mentions 'enhanced logging' but doesn't explain how this differs from other discovery tools in the sibling list (e.g., 'gau_discovery' or 'subfinder_scan'), nor does it specify prerequisites, constraints, or typical scenarios for its use. Without such context, an agent must infer usage based on 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.
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 behavioral disclosure. It mentions 'enhanced logging' as a trait, which adds some context beyond the basic action. However, it doesn't describe critical behaviors like whether this is a read-only or destructive operation, what permissions or authentication might be needed, rate limits, or what the output entails. For a tool with 6 parameters and no annotations, this leaves 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point without unnecessary words. It's front-loaded with the core action and purpose. However, given the complexity of the tool (6 parameters, no annotations), it may be overly concise, lacking details that would help an agent use it effectively.
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 (6 parameters, 0% schema coverage, no annotations) and the presence of an output schema (which helps but isn't described), the description is incomplete. It doesn't cover parameter meanings, usage scenarios, or behavioral traits, making it inadequate for an agent to confidently select and invoke this tool among many siblings. The output schema existence slightly mitigates this, but the description itself is too sparse.
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%, meaning none of the 6 parameters have descriptions in the schema. The tool description doesn't mention any parameters or their semantics, failing to compensate for this gap. It doesn't explain what 'url', 'method', 'wordlist', etc., are used for, leaving the agent to infer from titles alone, which is insufficient for proper tool invocation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute[s] x8 for hidden parameter discovery with enhanced logging', which provides a verb ('Execute'), resource ('x8'), and purpose ('hidden parameter discovery with enhanced logging'). However, it's vague about what 'x8' specifically refers to (likely a security tool) and doesn't clearly differentiate from sibling tools like 'arjun_parameter_discovery' or 'paramspider_mining' that may serve similar 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?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention any specific contexts, prerequisites, or exclusions, and with multiple sibling tools focused on parameter discovery (e.g., 'arjun_parameter_discovery', 'paramspider_mining'), there's no indication of how this tool differs or when it should be preferred.
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 states the tool 'creates' something (implying a write/generation operation) but doesn't specify what format the workflow takes, whether it's interactive or automated, what permissions might be needed, or how comprehensive the output is. For a tool that generates testing workflows, this leaves significant behavioral questions unanswered.
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 appropriately concise with a clear main statement followed by Args and Returns sections. The structure is front-loaded with the core purpose first. However, the Args and Returns sections are somewhat redundant since they mostly repeat what's already implied in the main statement without adding significant new 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 that there's an output schema (though not shown here), the description doesn't need to explain return values in detail. However, for a tool with 2 parameters (one required) and no annotations, the description should provide more context about what kind of workflow is generated, its typical structure, and how it integrates with other bug bounty tools. The current description is minimally adequate but leaves important contextual gaps.
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 for both parameters, the description must compensate but does so minimally. It mentions 'domain: Target domain' and 'program_type: Type of program (web, api, mobile, iot)' but provides no examples, format requirements, or constraints. For 'program_type', it lists possible values but doesn't explain what differentiates these program types or how they affect the workflow generation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Create business logic testing workflow for bug bounty hunting' which provides a clear verb ('Create') and resource ('business logic testing workflow') with context ('for bug bounty hunting'). However, it doesn't distinguish itself from sibling tools like 'bugbounty_comprehensive_assessment' or 'bugbounty_reconnaissance_workflow' - all seem related to bug bounty workflows but with different focuses.
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. With many sibling tools focused on different aspects of bug bounty hunting (reconnaissance, vulnerability scanning, OSINT, etc.), there's no indication whether this should be used before, after, or instead of those other tools. The minimal guidance is implied through the tool name but not explicit.
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 behavioral disclosure. It mentions 'enhanced logging' and 'comprehensive parameter support' but doesn't describe what the tool actually does (runs vulnerability scans), what it returns, whether it's destructive, what permissions it requires, or any rate limits. For a scanning tool with 35 parameters, this is a significant transparency gap.
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 - a single sentence that gets straight to the point. There's zero wasted language, and it's appropriately sized for what it communicates. 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.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a complex vulnerability scanning tool with 35 parameters, no annotations, and 0% schema description coverage, the description is woefully incomplete. While there's an output schema (which helps), the description doesn't explain what the tool actually does, when to use it, what behaviors to expect, or how to configure its many parameters. This leaves significant gaps for an AI agent trying to use this tool 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?
With 35 parameters and 0% schema description coverage, the description provides almost no help understanding what the parameters mean or how to use them. It mentions 'comprehensive parameter support' but doesn't explain any specific parameters, their purposes, or how they interact. The description fails to compensate for the complete lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute[s] Nuclei vulnerability scanner' which provides a clear verb ('Execute') and resource ('Nuclei vulnerability scanner'). However, it doesn't distinguish this tool from its many sibling scanning tools (like nmap_scan, sqlmap_scan, etc.) beyond mentioning 'enhanced logging and comprehensive parameter support' - which is somewhat vague about what makes this scanner unique.
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 the 38 other scanning/discovery tools in the sibling list. There's no mention of prerequisites, target types, or scenarios where Nuclei scanning is preferred over alternatives like nmap_scan, sqlmap_scan, or other vulnerability scanners in the list.
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 mentions 'AI-driven tool selection with parallel execution', which hints at automation and concurrency, but fails to disclose critical behavioral traits like required permissions, potential rate limits, whether it's destructive or safe, execution time, or output format details. For a scanning tool with zero annotation coverage, this leaves significant gaps in understanding its operation and risks.
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 appropriately sized and front-loaded, starting with the core action and followed by Args and Returns sections. Each sentence adds value: the first explains the tool's intelligent and parallel nature, and the sections clarify inputs and outputs. There's minimal waste, though it could be slightly more concise by integrating the sections into a smoother flow.
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 (AI-driven scanning with parallel execution), no annotations, and an output schema exists (implied by 'Returns'), the description is moderately complete. It covers the basic purpose and parameters but lacks depth in behavioral context, usage differentiation from siblings, and detailed parameter guidance. The output schema likely handles return values, so the description doesn't need to explain those, but overall it's adequate with clear gaps for a tool of this nature.
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 lists 'target' and 'objective' in the Args section, adding that 'target' is a domain, IP, or URL and 'objective' has options like 'comprehensive, fast, stealth, targeted'. However, with 2 parameters, this provides basic semantics but lacks details on formats (e.g., URL syntax), constraints, or default behaviors beyond the schema's 'default: comprehensive'. It doesn't fully cover the parameters' nuances, such as what 'stealth' entails.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'Execute intelligent scan using AI-driven tool selection with parallel execution', which provides a general purpose (scanning with AI optimization) but is vague about what specifically is being scanned or how it differs from many sibling tools like 'nmap_scan', 'nikto_scan', or 'bugbounty_comprehensive_assessment'. It mentions 'AI-driven tool selection' but doesn't clarify the domain (e.g., network, web, security) or unique value.
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 is provided. With numerous sibling tools for scanning (e.g., 'nmap_scan', 'dirsearch_scan', 'bugbounty_reconnaissance_workflow'), the description lacks context on scenarios where 'smart_scan' is preferred, such as for automated tool selection or parallel execution needs. It implies usage through the 'objective' parameter but doesn't state exclusions or comparisons.
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 AI-based optimization but doesn't disclose behavioral traits like whether this is a read-only analysis or a configuration change, what permissions or inputs are needed, potential side effects, or performance considerations. The description is too high-level to guide safe or effective use.
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 appropriately sized and front-loaded, with a clear opening sentence followed by structured 'Args' and 'Returns' sections. There's minimal fluff, though the 'Returns' section is redundant given the output schema. Overall, it's efficient but could be more concise by integrating with structured data.
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 3 parameters with 0% schema coverage and no annotations, the description provides basic parameter semantics and mentions an output, but it's incomplete for an AI-driven optimization tool. It lacks details on how optimization works, error conditions, or integration with sibling tools. The presence of an output schema reduces the need to explain return values, but more context is needed for 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?
Schema description coverage is 0%, so the schema provides no parameter details. The description lists parameters in an 'Args' section with brief explanations ('target: Target domain, IP, or URL', etc.), adding some meaning beyond the bare schema. However, it doesn't fully compensate for the coverage gap—e.g., it doesn't specify formats, examples, or constraints for 'tool' or 'context', leaving ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool 'optimize tool parameters using AI based on target profile,' which provides a general purpose but lacks specificity. It mentions a verb ('optimize') and resource ('tool parameters'), but doesn't clarify what 'optimize' means operationally (e.g., tuning, suggesting, generating) or how it differs from sibling tools like 'select_tools' or parameter-focused tools. The purpose is vague rather than tautological.
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 this tool versus alternatives. It doesn't mention prerequisites, typical scenarios, or exclusions. Given many sibling tools (e.g., 'arjun_parameter_discovery', 'paramspider_mining', 'x8_parameter_discovery'), there's no differentiation, leaving the agent to guess based on 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 of behavioral disclosure. It mentions 'enhanced logging,' which hints at output behavior, but doesn't describe critical traits like execution time, resource usage, error handling, or security implications (e.g., whether it's passive or active scanning). For a tool with no annotations, this leaves significant gaps in understanding its operational 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 appropriately sized and front-loaded, starting with the core purpose in the first sentence. The Args and Returns sections are structured but could be more integrated. There's no wasted text, though it could benefit from slightly more detail to improve clarity without becoming verbose.
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 (3 parameters, no annotations, 0% schema coverage) and the presence of an output schema (which handles return values), the description is partially complete. It covers the basic purpose and parameters but lacks usage guidelines, behavioral details, and parameter explanations. For a tool with no annotations and poor schema coverage, this is minimally adequate but leaves important gaps for an AI agent.
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%, meaning parameters are undocumented in the schema. The description lists parameters (domain, mode, additional_args) and provides minimal context (e.g., 'Target domain for enumeration'), but it doesn't explain the 'mode' enum values (enum, intel, viz) or what 'additional_args' might include. This fails to compensate for the schema's lack of documentation, leaving key parameter details unclear.
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's purpose: 'Execute Amass for subdomain enumeration with enhanced logging.' It specifies the verb ('execute'), the resource ('Amass'), and the action ('subdomain enumeration'), which is distinct from sibling tools like subfinder_scan or dnsenum_scan that might perform similar but different reconnaissance tasks. However, it doesn't explicitly differentiate from all siblings, such as bugbounty_reconnaissance_workflow, which could overlap in 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?
The description provides no guidance on when to use this tool versus alternatives. It mentions 'enhanced logging' but doesn't specify scenarios where this is beneficial or when other tools like subfinder_scan might be more appropriate. There's no mention of prerequisites, target types, or performance considerations, leaving the agent without clear 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 carries the full burden of behavioral disclosure. It mentions 'enhanced logging,' which adds some context about output behavior, but fails to cover critical aspects like whether this is a read-only or destructive operation, permission requirements, rate limits, or error handling. For a security scanning tool with potential system impacts, this 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads key information: tool execution, purpose, and a feature. There is no wasted verbiage, making it easy to parse quickly.
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 (7 parameters, 1 required) and lack of annotations, the description is incomplete. It covers the basic purpose but misses parameter explanations, usage guidelines, and behavioral details. The presence of an output schema helps with return values, but the overall context for effective tool selection and invocation is inadequate.
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%, meaning none of the 7 parameters have descriptions in the schema. The tool description does not mention any parameters, leaving all semantics undocumented. This forces the agent to infer meaning from parameter names alone, which is insufficient for complex inputs like 'additional_args' or 'custom_payload.'
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's purpose: 'Execute Dalfox for advanced XSS vulnerability scanning with enhanced logging.' It specifies the action ('Execute Dalfox'), the domain ('XSS vulnerability scanning'), and a key feature ('enhanced logging'). However, it doesn't explicitly differentiate from sibling tools like 'jaeles_vulnerability_scan' or 'nuclei_scan' that might also perform vulnerability scanning, though 'XSS' provides some distinction.
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 mentions 'advanced XSS vulnerability scanning' but doesn't specify scenarios, prerequisites, or exclusions. With many sibling tools for scanning and vulnerability assessment, this lack of comparative context leaves the agent without clear 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'enhanced logging' but doesn't specify what that entails (e.g., log levels, output format). It fails to describe critical behaviors like execution time, rate limits, permissions needed, or whether it's a read-only or destructive operation, leaving significant gaps for an agent.
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 a single, efficient sentence that front-loads the core purpose. It avoids unnecessary words, though it could be slightly more structured by separating purpose from features. Overall, it's appropriately sized with minimal waste.
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, 0% schema coverage, no annotations) and the presence of an output schema, the description is moderately complete. It states the purpose clearly but lacks parameter details and behavioral context. The output schema may cover return values, but the description doesn't address execution nuances, making it adequate but with clear gaps.
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 for undocumented parameters. It adds no information about the 5 parameters (e.g., 'domain', 'providers', 'blacklist'), their formats, or examples. The mention of 'multiple sources' hints at 'providers' but lacks specifics, failing to provide meaningful semantics 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 the tool's purpose: 'Execute Gau (Get All URLs) for URL discovery from multiple sources with enhanced logging.' It specifies the verb ('Execute'), resource ('Gau'), and objective ('URL discovery'), though it doesn't explicitly differentiate from sibling tools like 'waybackurls_discovery' or 'subfinder_scan' that might perform similar functions.
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 doesn't mention any prerequisites, exclusions, or comparisons to sibling tools such as 'waybackurls_discovery' or 'hakrawler_crawl', which could also be used for URL discovery. Usage is implied by the purpose but not explicitly stated.
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 behavioral disclosure. It mentions 'enhanced logging' which adds some context beyond basic execution, but fails to disclose critical traits such as whether this is a read-only or destructive operation, potential security implications, execution time, rate limits, or authentication needs. For a security testing tool with zero annotation coverage, this 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized 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.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given this is a security testing tool with 3 parameters, 0% schema coverage, no annotations, but with an output schema, the description is incomplete. While the output schema may cover return values, the description fails to provide necessary context about the tool's behavior, parameter usage, and when to select it among many sibling security tools. For a complex tool in this domain, more guidance is needed.
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%, meaning none of the 3 parameters (url, data, additional_args) have descriptions in the schema. The tool description provides no information about what these parameters mean, their formats, or how they should be used. The description doesn't compensate for the complete lack of parameter documentation in 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 the tool's purpose as 'Execute SQLMap for SQL injection testing with enhanced logging.' This specifies the verb (execute SQLMap), resource (SQL injection testing), and a distinguishing feature (enhanced logging). It differentiates from siblings by focusing on SQL injection testing specifically, though it doesn't explicitly contrast with other SQL-related tools (none listed in 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?
The description provides no guidance on when to use this tool versus alternatives. It mentions 'enhanced logging' but doesn't explain when this is beneficial or when other tools like 'nuclei_scan' or 'smart_scan' might be more appropriate. There are no explicit when/when-not statements or named 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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions AI analysis but doesn't describe what the analysis entails, whether it's resource-intensive, time-consuming, or has any rate limits. It doesn't specify if this is a read-only operation or if it might trigger alerts on the target. For a tool with no annotation coverage, this leaves significant behavioral gaps.
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 appropriately concise with two clear sentences. The first states the purpose, the second clarifies the return value. The Args/Returns structure is helpful, though the formatting could be more integrated. Every sentence earns its place with 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?
Given the tool has an output schema (which handles return value documentation) but no annotations and 0% schema description coverage, the description is moderately complete. It covers the basic purpose and parameter semantics adequately but lacks behavioral context and usage guidelines. For a tool with AI analysis capabilities, more transparency about what the analysis entails would improve completeness.
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 compensate. It provides the parameter name 'target' and clarifies it accepts 'domain, IP, or URL to analyze,' which adds meaningful context beyond the bare schema. However, it doesn't specify format requirements, validation rules, or examples. The description adds value but doesn't fully compensate for the 0% schema coverage.
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's purpose: 'Analyze target and create comprehensive profile using AI.' It specifies the verb ('analyze'), resource ('target'), and method ('using AI'), which distinguishes it from many sibling tools focused on specific scanning techniques. However, it doesn't explicitly differentiate from similar-sounding siblings like 'bugbounty_comprehensive_assessment' or 'smart_scan'.
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. With 45 sibling tools including various scanning and assessment tools, there's no indication of what makes this AI-based analysis distinct or when it's preferred over other reconnaissance or vulnerability hunting tools. The description lacks any '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.
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 behavioral disclosure. It mentions 'enhanced logging,' which adds some context beyond basic execution, but fails to cover critical aspects like required permissions, rate limits, output format (despite having an output schema), or potential side effects (e.g., network impact). For a tool with 7 parameters and no annotations, this is insufficient, warranting a low score.
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, efficient sentence: 'Execute Arjun for HTTP parameter discovery with enhanced logging.' It is front-loaded with the core purpose and includes an additional feature without unnecessary details. Every word contributes to understanding the tool's function, making it highly concise and well-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?
Given the complexity (7 parameters, 1 required), no annotations, and an output schema (which reduces the need to describe return values), the description is minimally complete. It states the tool's purpose and a feature ('enhanced logging'), but lacks details on parameter usage, behavioral traits, or differentiation from siblings. This provides a basic foundation but leaves significant gaps for effective 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?
Schema description coverage is 0%, meaning none of the 7 parameters have descriptions in the schema. The tool description does not mention any parameters, their purposes, or how they affect the discovery process. This lack of semantic information leaves the agent to infer usage from parameter titles alone, which is inadequate for effective tool invocation, resulting in a score of 2.
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's purpose: 'Execute Arjun for HTTP parameter discovery with enhanced logging.' It specifies the verb ('Execute'), the resource ('Arjun'), and the function ('HTTP parameter discovery'), with an additional feature ('enhanced logging'). However, it doesn't explicitly differentiate from sibling tools like 'x8_parameter_discovery' or 'paramspider_mining', which appear to serve similar parameter discovery purposes, preventing a score of 5.
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 lacks context about specific scenarios, prerequisites, or comparisons with sibling tools such as 'x8_parameter_discovery' or 'paramspider_mining', which are listed and likely related. This omission leaves the agent without clear usage instructions, scoring only 2 for minimal implied utility.
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 mentions 'combining all workflows' but doesn't disclose behavioral traits: whether it executes workflows sequentially/parallel, time/rate limits, permission requirements, output format details beyond 'comprehensive assessment', or if it's destructive (e.g., testing might affect targets). The description is vague about what 'create' entails operationally.
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 structured with purpose, Args, and Returns sections, which is clear. However, the purpose sentence is somewhat vague ('combining all workflows'), and the Args/Returns sections are minimal. It's concise but could be more informative; the structure helps, but content is lean given the tool's complexity.
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, 0% schema coverage, no annotations, and an output schema (implied by 'Returns'), the description is moderately complete. It covers all parameters briefly and states the return, but lacks details on behavior, usage context, and parameter specifics. For a tool that likely orchestrates multiple workflows, more guidance on execution and output is needed to be fully helpful.
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 compensate. It lists all 5 parameters in the Args section with brief explanations (e.g., 'Target domain' for domain), adding meaning beyond the schema's titles. However, it doesn't explain parameter interactions, formats (e.g., 'comma-separated' for scope/priority_vulns), or default values (e.g., priority_vulns defaults to 'rce,sqli,xss,idor,ssrf'). It partially compensates but leaves gaps.
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's purpose: 'Create comprehensive bug bounty assessment combining all workflows.' It specifies the verb ('create') and resource ('comprehensive bug bounty assessment'), and indicates it combines workflows. However, it doesn't explicitly differentiate from sibling tools like 'bugbounty_business_logic_workflow' or 'bugbounty_osint_workflow' which appear to be components it might incorporate.
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. With many sibling tools for specific tasks (e.g., 'bugbounty_osint_workflow', 'bugbounty_vulnerability_hunting'), there's no indication whether this is a master tool that orchestrates others, when it's preferred over individual workflows, or any prerequisites. The only implied usage is from the purpose statement.
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 of behavioral disclosure. It states the tool creates a workflow, implying it's a generative or setup operation, but doesn't specify if it's read-only, destructive, requires authentication, has rate limits, or what the workflow entails (e.g., automated tests, manual steps). This is a significant gap for a tool with potential security testing 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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by structured Args and Returns sections. There's no wasted text, though the structure could be more integrated (e.g., combining purpose with parameter 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?
Given the tool's complexity (likely involves security testing workflows), no annotations, and schema coverage of 0%, the description is incomplete. It mentions an output ('File upload testing workflow with test files'), and an output schema exists, so return values needn't be detailed. However, it lacks critical behavioral context and parameter details, making it adequate but with clear gaps for effective tool selection.
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 compensate. It adds minimal value: the Args section lists 'target_url: Target URL for file upload testing,' which clarifies the parameter's purpose beyond the schema's title ('Target Url'). However, it doesn't explain format constraints (e.g., URL validation), examples, or other details, leaving the parameter only partially documented.
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's purpose: 'Create file upload vulnerability testing workflow.' It specifies the verb ('Create') and resource ('file upload vulnerability testing workflow'), making it distinct from sibling tools like 'bugbounty_vulnerability_hunting' or 'bugbounty_comprehensive_assessment' by focusing on file upload testing. However, it doesn't explicitly differentiate from all siblings beyond the general bugbounty category.
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 doesn't mention prerequisites (e.g., target URL availability), exclusions, or comparisons to sibling tools like 'bugbounty_comprehensive_assessment' or 'bugbounty_business_logic_workflow', leaving the agent to infer usage context solely from the tool name and description.
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 of behavioral disclosure. It states the tool creates a workflow, implying a generative or planning operation, but doesn't describe what the workflow entails, whether it's executable, if it requires specific inputs beyond the domain, or any limitations (e.g., rate limits, authentication needs). This leaves significant gaps in understanding the tool's 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 brief but inefficiently structured. It front-loads the purpose but includes redundant sections ('Args:' and 'Returns:') that repeat schema information without adding value. The sentences are clear, but the overall structure could be more streamlined by integrating parameter and return details contextually.
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 (creating a workflow for bug bounty OSINT), no annotations, and an output schema (which should cover return values), the description is minimally adequate. It states the purpose and parameters but lacks details on behavioral traits, usage context, and deeper parameter semantics, leaving gaps that could hinder effective tool selection and 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 schema description coverage is 0%, with one parameter ('domain') documented only by its title and type in the schema. The description adds minimal semantics by listing 'domain: Target domain' under 'Args,' but this merely restates the schema's title without explaining format (e.g., should it include protocol like 'example.com'), scope, or constraints. Given the low coverage, the description doesn't adequately compensate, resulting in a baseline score.
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's purpose: 'Create OSINT gathering workflow for bug bounty hunting.' This specifies the action (create), resource (OSINT gathering workflow), and context (bug bounty hunting). However, it doesn't explicitly differentiate from sibling tools like 'bugbounty_reconnaissance_workflow' or 'bugbounty_comprehensive_assessment,' which likely have overlapping domains.
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. With many sibling tools (e.g., 'bugbounty_reconnaissance_workflow,' 'analyze_target'), there's no indication of specific scenarios, prerequisites, or exclusions for this OSINT workflow creation tool.
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. While 'create' implies a write operation, it doesn't disclose critical behavioral traits: whether this executes attacks or just plans them, what permissions/authorization are needed, if it's destructive, rate limits, or how the 'intelligent' sequencing works. The description is insufficient for a tool with security 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 appropriately sized with clear sections (purpose, args, returns). The first sentence states the core function, followed by parameter and return documentation. No wasted sentences, though the structure with separate 'Args:' and 'Returns:' sections is slightly less front-loaded than ideal.
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 (security tool with potential destructive implications), lack of annotations, and presence of an output schema, the description is moderately complete. It covers parameters and return value at a high level, but for a tool of this nature, it should provide more behavioral context about what 'create' actually does (planning vs. execution) and security implications.
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 compensate. It documents both parameters (target, objective) and provides examples for target (domain, IP, URL) and objective values (comprehensive, fast, stealth, targeted), adding meaningful context beyond the bare schema. However, it doesn't explain parameter constraints or interactions.
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 an 'intelligent attack chain' based on a 'target profile', specifying the verb (create) and resource (attack chain). It distinguishes from siblings like individual scanning tools (nmap_scan, nuclei_scan) by focusing on sequencing multiple tools, though it doesn't explicitly differentiate from workflow-oriented siblings like bugbounty_workflow 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?
The description provides no guidance on when to use this tool versus alternatives. With many sibling tools for reconnaissance, scanning, and vulnerability assessment, there's no indication of prerequisites, when this automated chain generation is preferable to manual tool selection, or how it relates to workflow tools like bugbounty_workflow variants.
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 of behavioral disclosure. It mentions 'enhanced logging' but doesn't explain what this entails (e.g., log format, output location). It lacks details on execution behavior such as rate limits, timeouts, permissions needed, or whether it's a read-only or potentially intrusive scan. For a security scanning tool, this 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?
The description is well-structured with a clear purpose statement followed by Args and Returns sections. It's front-loaded with the main action. However, the parameter explanations are very brief and could be more informative without sacrificing conciseness, and the 'enhanced logging' detail is vague.
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 a 7-parameter security scanning tool with no annotations, the description is moderately complete. It covers the purpose and parameters superficially, and an output schema exists (implied by 'Returns: Directory scanning results'), so return values don't need explanation. However, it lacks critical behavioral context (e.g., safety, performance) and usage guidelines, making it inadequate for fully informed tool 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 lists all 7 parameters with brief explanations, but schema description coverage is 0%, so the schema provides no additional details. The descriptions are minimal (e.g., 'Target URL', 'Wordlist file path') and don't add much semantic value beyond what the parameter names imply. For example, it doesn't specify format for 'extensions' or what 'interactive mode' entails. This partially compensates for the schema gap but remains basic.
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's purpose: 'Execute DIRB directory scanner with enhanced logging.' It specifies the verb ('execute') and resource ('DIRB directory scanner'), making it understandable. However, it doesn't explicitly differentiate from sibling tools like dirsearch_scan or feroxbuster_scan, which likely perform similar directory scanning functions.
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. With many sibling tools for scanning (e.g., dirsearch_scan, feroxbuster_scan, gobuster_scan), there's no indication of scenarios where DIRB is preferred, prerequisites, or exclusions. This leaves the agent without 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 carries the full burden of behavioral disclosure. It states the tool executes dnsenum but doesn't mention critical behaviors: whether it's read-only or destructive, if it requires specific permissions, rate limits, network impact, or what 'DNS enumeration results' entail. For a tool with 7 parameters and no annotation coverage, this is a significant gap in 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 well-structured and appropriately sized. It starts with a clear purpose statement, followed by organized 'Args' and 'Returns' sections. Each sentence adds value without redundancy. Minor improvements could include bolding key terms, but overall it's efficient 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?
Given the tool's complexity (7 parameters, no annotations, but has an output schema), the description is partially complete. It covers the purpose and parameters adequately but lacks behavioral context, usage guidelines, and details on the output. The output schema existence reduces the need to explain return values, but overall completeness is moderate due to missing operational guidance.
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 compensate. It lists all 7 parameters with brief explanations (e.g., 'Target domain', 'Wordlist for brute force'), adding meaningful context beyond the schema's property titles. However, it doesn't provide format details, examples, or constraints (e.g., wordlist file paths, valid DNS server formats), leaving some ambiguity for the agent.
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's purpose: 'Execute dnsenum for DNS enumeration and subdomain discovery.' It specifies the verb ('execute'), resource ('dnsenum'), and objective ('DNS enumeration and subdomain discovery'), which is more specific than just restating the name. However, it doesn't explicitly differentiate from sibling tools like 'subfinder_scan' or 'fierce_scan' that may also perform DNS/subdomain discovery.
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. With many sibling tools for reconnaissance (e.g., 'subfinder_scan', 'fierce_scan', 'amass_scan'), there's no indication of when dnsenum is preferred, what scenarios it's suited for, or any prerequisites. The lack of usage context leaves the agent guessing about 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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'enhanced logging' but fails to detail critical aspects like required permissions, rate limits, output format, or potential side effects. This is inadequate for a tool with 5 parameters and no annotation coverage.
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, efficient sentence that is front-loaded with the core purpose. There is no wasted verbiage, making it highly concise and well-structured for quick comprehension.
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, no annotations, but with an output schema), the description is minimally adequate. It states the basic function but lacks details on behavioral traits, parameter usage, and sibling differentiation. The output schema mitigates some gaps, but overall completeness is limited.
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 for undocumented parameters. It adds no meaning beyond the schema, failing to explain what 'enhanced logging' entails or how parameters like 'mode' or 'additional_args' should be used. This leaves significant gaps in understanding.
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 ('Execute FFuf') and purpose ('for web fuzzing'), specifying the tool's function. It distinguishes from siblings by mentioning 'enhanced logging' as a unique feature, though it doesn't explicitly contrast with similar fuzzing tools like dirb_scan or gobuster_scan.
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 dirb_scan, feroxbuster_scan, or gobuster_scan. The description lacks context about specific scenarios, prerequisites, or exclusions, leaving usage decisions unclear.
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 behavioral traits. It states the tool executes Fierce for DNS reconnaissance, implying it performs network scanning, but does not cover critical aspects like rate limits, permissions needed, potential impact on target systems, or error handling. For a tool with no annotations and 7 parameters, this is insufficient 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 well-structured and appropriately sized. It starts with a clear purpose statement, followed by a bullet-point list of args and returns, with no redundant information. Every sentence serves a purpose, making it efficient 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?
Given the complexity (7 parameters, no annotations, but an output schema exists), the description is moderately complete. It covers the purpose and parameters but lacks behavioral context and usage guidelines. The presence of an output schema means return values are documented elsewhere, reducing the burden, but overall completeness is limited by missing operational 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?
The description lists all 7 parameters with brief explanations (e.g., 'domain: Target domain', 'wide: Wide scan (more comprehensive)'), adding meaning beyond the schema, which has 0% description coverage. However, the explanations are minimal and lack depth (e.g., no details on wordlist format or thread limits). With low schema coverage, this partially compensates but does not fully elucidate 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's purpose: 'Execute Fierce for DNS reconnaissance and subdomain discovery.' It specifies the verb ('Execute'), the tool ('Fierce'), and the resource/domain ('DNS reconnaissance and subdomain discovery'). However, it does not explicitly differentiate from sibling tools like 'dnsenum_scan' or 'subfinder_scan', which may have overlapping functionality, so it falls short of a perfect score.
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. With many sibling tools for reconnaissance (e.g., 'dnsenum_scan', 'subfinder_scan', 'amass_scan'), there is no mention of specific contexts, prerequisites, or comparisons. This lack of differentiation leaves the agent without clear 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?
With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions 'enhanced logging' and describes parameters, it doesn't explain what the tool actually does behaviorally: whether it performs active scanning, what 'probing' entails (e.g., sending requests, analyzing responses), potential impact on targets, rate limiting considerations, or authentication requirements. The description is insufficient for understanding the tool's operational 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 a brief purpose statement followed by organized parameter and return sections. Each sentence serves a clear purpose: the first establishes the tool's function, the parameter list explains inputs, and the return statement clarifies outputs. There's minimal wasted text, though the purpose statement could be more specific.
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 (8 parameters, security scanning context) and the presence of an output schema (which handles return values), the description provides adequate basic information but has significant gaps. It explains parameters well and mentions enhanced logging, but lacks crucial context about the tool's behavior, when to use it, and how it fits with sibling tools. For a security tool with no annotations, more behavioral transparency would be expected.
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 (schema titles are generic like 'Targets', 'Ports'), the description provides meaningful parameter explanations that compensate well. It clarifies what each parameter represents (e.g., 'targets: Target URLs or IPs', 'ports: Ports to probe', 'methods: HTTP methods to use'), adding substantial value beyond the bare schema. The parameter explanations are clear and helpful for understanding input requirements.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Execute HTTPx for HTTP probing with enhanced logging' which provides a basic purpose (HTTP probing tool), but it's somewhat vague about what HTTP probing entails compared to siblings like 'ffuf_scan' or 'nuclei_scan'. It doesn't clearly differentiate from other scanning tools in the sibling list, leaving ambiguity about its specific role in the security testing workflow.
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. With many sibling tools performing various types of scanning (nmap_scan, nuclei_scan, ffuf_scan, etc.), the description offers no context about when HTTPx probing is preferred over other HTTP-focused tools or how it complements the broader security assessment workflow.
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 behavioral disclosure. It mentions 'high-speed port scanning' and 'banner grabbing,' which hints at network activity, but fails to disclose critical traits such as potential network impact, permission requirements, rate limits, or safety considerations. The description is minimal and doesn't add meaningful context beyond the basic operation.
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,' making it easy to parse. It's front-loaded with the core purpose, and each sentence serves to document parameters or outputs without unnecessary fluff. However, the parameter explanations are very brief, bordering on under-specification in some cases.
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 an 8-parameter tool with no annotations and 0% schema description coverage, the description is moderately complete. It covers all parameters and mentions the output, and an output schema exists, so return values don't need explanation. However, it lacks behavioral context and usage guidelines, leaving gaps for a tool that performs network 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?
The description lists all 8 parameters with brief explanations (e.g., 'Target IP address or CIDR range'), but the input schema has 0% description coverage, meaning parameters are undocumented in the schema. The description compensates by providing basic semantics for each parameter, though it lacks detailed format specifications or examples. This meets the baseline for adding value 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 the tool's purpose as 'Execute Masscan for high-speed port scanning,' which specifies the verb ('execute'), tool ('Masscan'), and key characteristic ('high-speed port scanning'). It distinguishes itself from sibling tools like 'nmap_scan' or 'rustscan_fast_scan' by explicitly mentioning 'Masscan' and 'high-speed,' though it doesn't explicitly contrast with them in the description text.
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 doesn't mention any specific contexts, prerequisites, or exclusions, nor does it reference sibling tools like 'nmap_scan' or 'rustscan_fast_scan' for comparison. The usage is implied only by the tool's name and description, lacking explicit 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, so the description must fully disclose behavioral traits. It mentions 'enhanced Nmap scan' and 'real-time logging,' but lacks critical details such as required permissions, potential network impact, rate limits, or error handling. For a network scanning tool with no annotation coverage, this is a significant gap in safety and operational 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 well-structured and appropriately sized, with a clear opening sentence followed by Args and Returns sections. It avoids unnecessary fluff, though the 'enhanced telemetry' in the Returns section is vague and could be more specific to improve clarity without adding 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?
Given the tool's complexity (network scanning with 4 parameters), no annotations, and an output schema present, the description is moderately complete. It covers the basic purpose and parameters but lacks behavioral context and usage guidelines. The output schema likely handles return values, so the description's vague 'enhanced telemetry' is acceptable, though more detail would help.
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 compensate. It lists and briefly explains the four parameters (target, scan_type, ports, additional_args), adding basic meaning beyond the schema's property names. However, it does not provide detailed semantics (e.g., format examples for ports, common scan_type values), leaving some ambiguity for proper 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's purpose as 'Execute an enhanced Nmap scan against a target with real-time logging,' which specifies the verb (execute scan), resource (target), and enhancement (real-time logging). However, it does not explicitly differentiate from sibling tools like 'nmap_advanced_scan' or 'smart_scan,' leaving some ambiguity about when to choose this specific Nmap 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?
The description provides no guidance on when to use this tool versus alternatives. With multiple scanning-related siblings (e.g., nmap_advanced_scan, masscan_high_speed, rustscan_fast_scan), there is no indication of this tool's specific context, prerequisites, or exclusions, which could lead to incorrect 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'ultra-fast port scanning' and 'skip nmap integration', which hints at performance and optional behavior, but lacks critical details: whether this is a read-only or destructive operation, permission requirements, rate limits, error handling, or what 'fast port scan results' entail. For a tool with 8 parameters and no annotations, this 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 well-structured and appropriately sized. It starts with a clear purpose statement, followed by organized sections for 'Args' and 'Returns'. Each sentence adds value without redundancy. Minor improvements could include integrating the parameter explanations more seamlessly, but overall it's efficient 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 the complexity (8 parameters, no annotations, but an output schema exists), the description is moderately complete. The output schema likely covers return values, so the description doesn't need to detail results. However, for a port scanning tool with many configuration options and no behavioral annotations, it should provide more context on usage scenarios, security implications, or performance trade-offs to be fully 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 description coverage is 0%, so the description must compensate. It lists all 8 parameters with brief explanations (e.g., 'Custom port range (default: all ports)'), adding meaning beyond the schema's titles. However, these explanations are minimal and don't cover nuances like format for 'ports' or implications of 'ulimit'. The description provides basic semantics but doesn't fully address the coverage gap.
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's purpose: 'Execute RustScan for ultra-fast port scanning.' This specifies the verb ('execute'), the resource ('RustScan'), and the action ('port scanning') with a distinguishing characteristic ('ultra-fast'). However, it doesn't explicitly differentiate from sibling tools like 'masscan_high_speed' or 'nmap_scan' that also perform port scanning, which prevents a perfect score.
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. With multiple sibling tools for scanning (e.g., 'masscan_high_speed', 'nmap_scan', 'nmap_advanced_scan'), there's no indication of RustScan's specific use cases, strengths, or limitations compared to these options. The description only states what it does, not when it's appropriate.
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 behavioral disclosure. It mentions 'enhanced logging' which adds some context, but fails to describe critical behavioral traits such as execution time, rate limits, permission requirements, whether it's read-only or destructive, or what 'passive' specifically entails in terms of network activity. The description is insufficient for a mutation/scanning tool with zero annotation coverage.
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 (description, Args, Returns) and uses only essential sentences. However, the Args section could be more efficiently integrated, and some phrases like 'with enhanced logging' could be more precisely defined to avoid 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?
Given that there's an output schema (which handles return values), no annotations, and 4 parameters with 0% schema coverage, the description provides basic purpose and parameter listing but lacks crucial behavioral context and detailed parameter explanations. It's minimally adequate but has clear gaps for a scanning tool in a security 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 schema provides no parameter documentation. The description lists parameters in the Args section with brief labels, adding some semantic meaning beyond just the parameter names. However, it doesn't explain what 'silent mode' does, what 'all sources' includes, or what format 'additional_args' should take, leaving significant gaps in parameter understanding.
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's purpose: 'Execute Subfinder for passive subdomain enumeration with enhanced logging.' It specifies the action (execute Subfinder), the resource (subdomain enumeration), and the method (passive with enhanced logging). However, it doesn't explicitly differentiate from sibling tools like 'amass_scan' or 'fierce_scan' which likely perform similar reconnaissance functions.
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 doesn't mention sibling tools like 'amass_scan' or 'fierce_scan' that might offer different subdomain enumeration approaches, nor does it specify prerequisites, ideal scenarios, or exclusions for using this tool.
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 that the tool 'Execute[s] WPScan' and returns 'WordPress vulnerability analysis results,' but lacks critical behavioral details: it doesn't specify if this is a read-only scan or if it performs active testing, doesn't mention rate limits, execution time, or potential impacts on the target site, and doesn't clarify what 'analysis results' include (e.g., reports, alerts). For a vulnerability scanning tool with zero annotation coverage, this 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?
The description is well-structured with clear sections for 'Args' and 'Returns,' making it easy to parse. It's front-loaded with the core purpose. However, some sentences could be more efficient (e.g., the parameter list is verbose but necessary given low schema coverage), and the 'Returns' section is vague. Overall, it's appropriately sized with minimal waste.
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 (vulnerability scanning with 7 parameters), no annotations, and an output schema (implied by 'Returns'), the description is moderately complete. It covers the purpose and parameters but lacks behavioral context and detailed usage guidelines. The output schema existence means it needn't explain return values deeply, but the description should do more for a tool of this 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?
Schema description coverage is 0%, so the description must compensate. It lists all 7 parameters with brief explanations (e.g., 'url: WordPress site URL'), adding meaning beyond the schema's titles. However, the explanations are minimal (e.g., 'enumerate: Enumeration options (ap=all plugins, at=all themes, etc.)' lacks full details), and it doesn't cover defaults or required parameters. It partially compensates but doesn't fully bridge the coverage gap.
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's purpose: 'Execute WPScan for WordPress vulnerability analysis.' It specifies the verb ('Execute WPScan') and resource ('WordPress vulnerability analysis'), making it clear what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'nikto_scan' or 'nuclei_scan' that might also perform vulnerability scanning, though WPScan is WordPress-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. It doesn't mention prerequisites (e.g., needing a WordPress site), exclusions (e.g., not for non-WordPress sites), or comparisons to siblings like 'nuclei_scan' (general) or 'nikto_scan' (web server). Usage is implied by the tool name and purpose but not explicitly stated.
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 mentions 'enhanced logging' but doesn't explain what this means operationally. It doesn't disclose whether this is a read-only or destructive operation, what permissions are needed, rate limits, network impact, or what happens when scanning completes. For a security scanning tool with potential legal/ethical implications, this 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?
The description is well-structured with clear sections for Args and Returns. The opening sentence efficiently states the purpose. However, the parameter list could be more concise, and some parameter descriptions are minimal (e.g., 'Cookies to include' without format guidance). Overall, it's appropriately sized for a complex tool.
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 (9 parameters, security scanning function) and the presence of an output schema (which handles return values), the description is moderately complete. It covers the basic purpose and parameters but lacks critical context about when to use it, behavioral characteristics, and differentiation from similar tools. For a security tool with ethical implications, more guidance would be expected.
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 provides substantial parameter information beyond the bare schema. It lists all 9 parameters with brief explanations of their purpose (e.g., 'Scan mode (dir, dns, vhost, fuzz)', 'Wordlist file path'), though it doesn't provide detailed examples or constraints. 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.
Purpose4/5
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 Gobuster to find directories, DNS subdomains, or virtual hosts with enhanced logging.' It specifies the verb ('execute'), resource ('Gobuster'), and what it finds, but doesn't explicitly differentiate from sibling tools like dirb_scan or feroxbuster_scan that perform similar directory scanning functions.
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. With many sibling tools for scanning and reconnaissance (e.g., dirb_scan, feroxbuster_scan, subfinder_scan), there's no indication of when Gobuster is preferred, what scenarios it's best suited for, or any prerequisites for 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'fast web crawling' which implies performance characteristics, but lacks critical details: it doesn't specify whether this is a read-only operation, potential side effects (e.g., rate limiting, triggering security alerts), authentication requirements, or error handling. For a tool with 8 parameters and no annotation coverage, this is a significant gap in 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 well-structured and appropriately sized: a clear purpose statement followed by bullet-point lists for arguments and returns. Every sentence earns its place, with no redundant information. It could be slightly more front-loaded by integrating the purpose more tightly with parameter context, but overall it's efficient and readable.
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 (8 parameters, no annotations, but with an output schema), the description is moderately complete. It covers the purpose and parameters adequately, and the output schema handles return values, so the description doesn't need to explain results. However, it lacks usage guidelines and behavioral context, which are important for a crawling tool that might have operational constraints or ethical considerations.
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 schema provides only titles and types for 8 parameters. The description compensates well by listing all parameters with brief explanations (e.g., 'depth: Crawling depth', 'forms: Extract form endpoints'), adding meaningful context beyond the bare schema. However, it doesn't elaborate on parameter interactions or provide examples (e.g., depth ranges), keeping it from a perfect score.
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's purpose: 'Execute hakrawler for fast web crawling and endpoint discovery.' It specifies the verb ('execute'), resource ('hakrawler'), and outcome ('web crawling and endpoint discovery'), which is specific and actionable. However, it doesn't explicitly differentiate from sibling tools like 'katana_crawl' or 'gau_discovery' that might offer similar crawling functionality, preventing a perfect score.
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. With many sibling tools for reconnaissance and scanning (e.g., 'katana_crawl', 'gau_discovery', 'waybackurls_discovery'), there's no indication of hakrawler's specific use cases, strengths, or limitations compared to them. The lack of context leaves the agent guessing about 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 are provided, so the description carries the full burden of behavioral disclosure. While it mentions 'Execute Nikto web server vulnerability scanner' and describes parameters, it lacks critical behavioral details such as whether this is a read-only or destructive operation, expected execution time, rate limits, authentication requirements, or potential impacts on the target system. The description doesn't compensate for 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.
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 'Args:' and 'Returns:' sections, making it easy to scan. It's appropriately sized for a tool with 7 parameters, though some sentences could be more concise (e.g., 'Execute Nikto web server vulnerability scanner' is efficient, but the parameter explanations are brief 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 the tool's complexity (7 parameters, no annotations, but with an output schema), the description is moderately complete. It covers the purpose and parameters adequately but lacks behavioral context and usage guidelines. The presence of an output schema means the description doesn't need to explain return values, but it should still address when and how to use the tool effectively.
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 by explaining parameters. It provides a clear list of 7 parameters with brief semantics (e.g., 'target: Target hostname or IP address'), adding meaningful context beyond the schema's titles. However, it doesn't detail format specifics (e.g., valid evasion techniques or plugin names), leaving some gaps in parameter understanding.
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's purpose with a specific verb ('Execute') and resource ('Nikto web server vulnerability scanner'), making it immediately understandable. However, it doesn't explicitly differentiate this Nikto scanner from sibling tools like 'nmap_scan' or 'nuclei_scan', which are also vulnerability scanners but 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 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. With many sibling tools available for scanning and vulnerability assessment (e.g., 'nmap_scan', 'nuclei_scan', 'wpscan_analyze'), there's no indication of Nikto's specific use cases, prerequisites, or how it complements or differs from other tools in the server.
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 of behavioral disclosure. It mentions 'advanced Nmap scan' and 'comprehensive options,' but lacks critical details such as whether this is a read-only or destructive operation, potential rate limits, authentication needs, or what 'advanced' entails beyond parameter listing. This is inadequate for a tool with 10 parameters and no annotation coverage.
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 organized 'Args' and 'Returns' sections. It's appropriately sized for a tool with many parameters, though the 'Args' section is somewhat verbose due to listing all parameters—this is necessary given the context, so it earns a high score for efficiency.
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 (10 parameters, no annotations, but with an output schema), the description is moderately complete. It covers the purpose and parameters adequately but lacks behavioral transparency and usage guidelines. The presence of an output schema means the description doesn't need to detail return values, but other gaps remain for a tool of this scope.
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 includes an 'Args' section that lists all 10 parameters with brief explanations (e.g., 'Target IP or hostname' for 'target'), adding meaningful context beyond the input schema's 0% description coverage. This compensates well for the schema's lack of descriptions, though some explanations could be more detailed (e.g., 'Scan technique (-sS, -sT, -sU, etc.)' is helpful but not exhaustive).
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's purpose as 'Execute advanced Nmap scan with comprehensive options for bug bounty hunting,' which specifies both the verb ('execute advanced Nmap scan') and the resource ('target' implied). However, it doesn't explicitly differentiate from its sibling 'nmap_scan' (also in the sibling list), which would be needed for a perfect score.
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 minimal guidance by mentioning 'bug bounty hunting' as a context, but it doesn't specify when to use this tool versus alternatives like 'nmap_scan' or other scanning tools in the sibling list. No explicit when-not-to-use or prerequisite information is included.
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 of behavioral disclosure. It mentions the tool executes wafw00f but doesn't describe key behaviors: whether it's read-only or destructive, if it requires specific permissions, potential rate limits, or how it handles errors. For a security scanning tool with zero annotation coverage, this is a significant gap in 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 well-structured and appropriately sized: it starts with the core purpose, then lists parameters with brief explanations, and ends with return information. Every sentence adds value, with no wasted words. However, the 'Args:' and 'Returns:' sections could be more integrated into the flow, slightly affecting 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 tool's complexity (6 parameters, security scanning) and the presence of an output schema, the description is moderately complete. It covers parameters well but lacks behavioral context and usage guidelines. With no annotations and many sibling tools, it should do more to explain the tool's role and constraints, making it adequate but with clear 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 description lists all 6 parameters with brief explanations (e.g., 'target: Target URL', 'findall: Find all possible WAFs'), which adds meaningful context beyond the input schema that has 0% description coverage. This compensates well for the schema's lack of descriptions, though it doesn't provide detailed syntax or examples for complex parameters like 'headers' or 'additional_args'.
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's purpose: 'Execute wafw00f to identify Web Application Firewall (WAF) protection.' It specifies the verb ('execute'), tool ('wafw00f'), and resource ('WAF protection'), making it easy to understand. However, it doesn't differentiate from sibling tools like 'nmap_scan' or 'nikto_scan' that might also detect security features, so it doesn't reach the highest score.
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. With many sibling tools for scanning and reconnaissance (e.g., 'nmap_scan', 'nikto_scan', 'nuclei_scan'), there's no indication that this is specifically for WAF detection or when it should be preferred over other tools. This lack of context leaves the agent guessing about appropriate use cases.
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 of behavioral disclosure. It mentions 'Execute Wfuzz' and 'Returns: Web application fuzzing results,' but lacks critical details: whether this is a read-only or destructive operation, permission requirements, rate limits, error handling, or output format specifics. For a security testing tool with potential impact, this is a significant gap in 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 well-structured and appropriately sized: a clear purpose statement followed by categorized Args and Returns sections. Every sentence adds value, with no redundant information. It could be slightly more front-loaded by emphasizing the core action earlier, but overall it's efficient 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?
Given the complexity (7 parameters, security tool, no annotations) and the presence of an output schema, the description is moderately complete. It covers parameters adequately but lacks behavioral context and usage guidelines. The output schema likely handles return values, so the description's brief 'Returns' statement is sufficient. However, for a tool in a crowded sibling set with no annotations, more guidance 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 compensates well by listing all 7 parameters with brief explanations (e.g., 'Target URL with FUZZ keyword,' 'Wordlist file path'). It adds meaningful context beyond the schema's property titles, clarifying usage like the FUZZ keyword and default values. However, it doesn't detail parameter interactions or advanced usage scenarios, preventing a perfect score.
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's purpose: 'Execute Wfuzz for web application fuzzing.' It specifies the verb ('execute') and resource ('Wfuzz'), and distinguishes it from siblings by mentioning 'web application fuzzing' (unlike general scanning tools like nmap_scan or specific vulnerability scanners like dalfox_xss_scan). However, it doesn't explicitly differentiate from similar fuzzing tools like ffuf_scan or dirb_scan, keeping it at a 4 rather than a 5.
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. With many sibling tools for scanning, fuzzing, and reconnaissance (e.g., ffuf_scan, dirb_scan, nuclei_scan), there's no indication of specific use cases, prerequisites, or comparisons. The only implied context is 'web application fuzzing,' but this is too vague for effective tool selection among the crowded sibling set.
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 mentions 'AI-powered' and 'optimized tool selection with recommendations' which gives some behavioral context about what the tool does (makes recommendations rather than executing scans). However, it doesn't disclose important behavioral traits like whether this is a read-only operation, what format the recommendations come in, whether it has rate limits, or what happens with invalid inputs.
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 appropriately sized with a clear main sentence followed by structured Args and Returns sections. The information is front-loaded with the core purpose stated first. However, the Args/Returns formatting could be more integrated with the natural language description rather than appearing as separate documentation blocks.
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 this is a recommendation/planning tool with 2 parameters and an output schema, the description provides adequate context. It explains what the tool does, what inputs it expects, and what it returns. The output schema existence means the description doesn't need to detail return values. However, for a tool that presumably interacts with many sibling scanning tools, more guidance about how the recommendations relate to those specific tools would be helpful.
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 schema provides no parameter documentation. The description adds some semantic meaning by explaining that 'target' can be a 'domain, IP, or URL' and 'objective' has specific values like 'comprehensive, fast, stealth, targeted'. However, it doesn't fully document both parameters - it doesn't explain what 'target' format is expected or whether all objective values are valid. Baseline would be lower without this partial compensation.
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's purpose: 'AI-powered tool selection based on target profile.' It specifies the verb ('select') and resource ('tools'), and distinguishes itself from sibling tools which are all specific scanning/analysis tools rather than a meta-tool for selecting them. However, it doesn't explicitly contrast with all siblings, just implies a different category.
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 when to use this tool (when you need help selecting appropriate scanning tools based on target and objective), but doesn't explicitly state when NOT to use it or name specific alternatives. The context suggests this is a planning/meta tool used before invoking actual scanning tools, but this is only implied rather than explicitly stated.
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 mentions 'fast recursive directory scanning' but doesn't disclose critical behavioral traits like whether this is a read-only operation, potential impact on target systems, authentication needs, rate limits, or error handling. The description is insufficient for a tool with 8 parameters and no annotation coverage.
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?
Well-structured with a clear purpose statement followed by organized parameter explanations and return value. Every sentence earns its place, though the 'Args:' and 'Returns:' formatting could be slightly more integrated with the main description.
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 8 parameters, no annotations, and an output schema (which handles return values), the description is moderately complete. It explains parameters well but lacks behavioral context and usage guidelines. For a complex scanning tool, more operational guidance would be beneficial.
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 provides clear semantic explanations for all 8 parameters beyond what the schema offers (e.g., 'Target URL', 'Wordlist file path', 'HTTP status codes to filter out'), adding significant value over the bare schema with only 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's purpose with specific verb ('Execute Feroxbuster') and resource ('for fast recursive directory scanning'), distinguishing it from sibling tools like dirb_scan, dirsearch_scan, and gobuster_scan by specifying it's for 'fast recursive' 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?
No guidance is provided on when to use this tool versus alternatives like dirb_scan, dirsearch_scan, or gobuster_scan. The description lacks context about scenarios where Feroxbuster is preferred, prerequisites, or exclusions.
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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