cybershield

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility. It mentions 'checklist' and 'prioritized security checks', which suggests a non-destructive assessment, but it does not disclose whether the tool performs live scans, returns a report, or is a static guide. No side effects or return behavior are described.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, with no filler, and front-loads the purpose. It is split into three short sentences, which is slightly fragmented but clear and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 5 parameters, no output schema, and no annotations, the description is too sparse. An agent cannot determine what the tool returns, how to interpret the checklist, or how it relates to sibling security tools, making it hard to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description lists categories (web apps, remote access, cloud, IoT, email) that map to booleans but does not explain parameter names or how they control the assessment. 'employee_count' is not mentioned in the description, leaving its meaning and type unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as an attack surface assessment checklist and enumerates coverage areas (web apps, remote access, cloud, IoT, email). It distinguishes from siblings by its broad, cross-cutting scope, but lacks a specific verb describing what it actually does (e.g., 'generates', 'returns').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 cve_risk_score or nis2_compliance. The phrase 'Prioritized security checks' implies a general purpose but does not specify the appropriate context or exclusion criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the transparency burden. It states that the tool combines specific inputs and returns a weighted priority score with a patching SLA, giving some insight. However, it does not describe the score scale, handling of missing inputs, or whether external data fetching occurs, leaving gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, cohesive sentence with no filler. It front-loads the core purpose and then lists key inputs and the output, earning its place efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters, no annotations, and no output schema, the description provides only a high-level overview. It does not explain which inputs are required (all are optional per schema), how the score is computed or interpreted, or how the output structure looks, making it incomplete for confident invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is low (14%), so the description must compensate. It names several inputs (CVSS, EPSS, KEV, exploit availability) but omits 'internet_facing' and 'affected_systems'. It adds context on how sources combine but lacks detail on weighting logic and parameter format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly indicates the tool's function: CVE risk prioritization combining multiple data sources (CVSS, EPSS, KEV, exploits) and returning a weighted score with a patching SLA. Though it uses a noun phrase rather than a direct verb, it is unambiguous and distinct from sibling tools focused on other security/compliance areas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool should be used for CVE risk prioritization, providing clear context. However, it does not explicitly mention when not to use it or name alternative sibling tools, though the niche is evident from the tool name and sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states that 8 articles are assessed, but does not mention whether the tool is read-only, returns a report, requires permissions, or has side effects. The 'check' likely implies a read operation, but this is not confirmed, leaving significant transparency gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no redundant wording. It front-loads the core purpose and adds the detail about article count. While it could be structured with more user-facing guidance, this is concise and efficient, earning a high score.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of 7 undocumented boolean parameters, no output schema, and 11 sibling tools, the description is far from complete. It fails to explain what the parameters represent, what the output looks like, or how to interpret the results. The tool likely requires more context for an agent to use it correctly, and this description barely scratches the surface.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema contains 7 boolean parameters with zero description coverage, and the tool description provides no mapping or explanation for any of them. The mention of '8 articles' conflicts with the 7 parameters, creating confusion rather than clarity. The parameters are entirely semantically opaque, and the description does not compensate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a compliance check for DORA Articles 5-12 on ICT risk management. It specifies both the regulatory reference and the subject area, distinguishing it from siblings like nis2_compliance or iso27001_gap. The verb phrase 'compliance check' and the number of assessed articles provide concrete scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool: when needing to assess compliance against DORA ICT risk management requirements. However, it does not explicitly state when not to use it or mention alternatives. This gives moderate guidance but lacks clear exclusions or comparative context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the burden. The description mentions 'phase-by-phase actions with legal obligations,' which describes the content, but it does not disclose whether the tool is read-only, what invoking it returns, or any side effects. The behavior is largely opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences, front-loaded with the core purpose, and contains no filler words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one parameter and no output schema, but the description does not explicitly state what the tool returns (e.g., a formatted playbook) or how to interpret the 'phase-by-phase actions.' The mention of legal obligations adds context, but the absence of return behavior leaves some ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema fully describes the single parameter (incident_type) with its allowed values, and the description merely repeats those values. No additional semantic information is provided, so it meets the baseline of 3 due to high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as an incident response playbook and specifies the incident types covered (ransomware, data breach, phishing compromise), making it distinct from siblings like nis2_incident_report or phishing_indicators.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides context by listing the three incident types, so an agent can infer when to use it, but it does not explicitly state when not to use it or point to alternatives. No exclusions or comparisons are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must disclose behavioral traits such as side effects, auth requirements, or output format. It only states the coverage of the gap analysis (93 controls, 4 themes, new 2022 highlights, certification process) but does not explain what the tool does beyond that, nor what it returns. This is a significant gap given the absence of an output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the primary purpose and includes specific details (93 controls, 4 themes, new 2022) without extraneous information. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema and no annotations, so the description should explain what the tool produces (e.g., a gap report, risk scores, certification readiness). It only hints at 'certification process' but does not describe return values or behavioral outcomes. Given the low complexity (1 optional param), this is still inadequate for an agent to fully understand the tool's output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single optional parameter 'controls' already has a description in the schema (Optional: status of specific controls), providing full coverage. The tool description does not add any additional meaning or usage details for this parameter, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as an ISO 27001:2022 Annex A gap analysis, specifying the scope (all 93 controls across 4 themes) and noting new 2022 controls. This distinguishes it from sibling compliance tools like nis2_compliance and dora_ict_risk.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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. Whilesibling tools exist for other compliance frameworks, the description does not mention them or offer any usage context, leaving the agent to infer applicability solely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only lists content areas (measures, classification, penalties, incident reporting) but does not explain what the tool actually does with the inputs—whether it computes a compliance score, generates a report, or performs a checklist. It also fails to describe the output format, prerequisites, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that efficiently conveys the tool's scope. It avoids redundancy and gets straight to the point. However, given the tool's complexity, the extreme brevity sacrifices necessary detail, though that issue is captured in other dimensions.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex tool with 13 parameters and no output schema or annotations. The one-sentence description covers only high-level scope and omits critical operational details: what the inputs mean, what the response contains, how the assessment is structured, and any limitations. It is inadequate for an agent to reliably invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 13 parameters with 0% description coverage, yet the description does not reference any parameter. It gives no hints about how fields like sector, mfa_deployed, or annual_turnover_meur influence the assessment. With no parameter descriptions in the schema and none in the tool description, the agent is left completely uninformed about parameter usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: assessing compliance with the NIS2 Directive (EU 2022/2555). It enumerates specific coverage areas (all 10 Art. 21 measures, entity classification, penalties, incident reporting), distinguishing it from sibling tools like iso27001_gap (different standard) and dora_ict_risk (different regulation).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use for NIS2 compliance assessments but does not explicitly state when to use this tool versus alternatives. For example, the sibling nis2_incident_report likely handles incident reporting specifically, yet the description includes incident reporting without clarifying whether to prefer the sibling for that function. No exclusions or alternative guidance are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It states only that templates are available, without disclosing output format, whether it returns text or a document, how parameters influence results, or any side effects. This is minimal behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, front-loaded with the core concept and efficient in listing the three template types. It contains no fluff, though it is somewhat under-specified, which is more a completeness concern than a conciseness issue.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 5 parameters, no annotations, and no output schema, the description is incomplete. It lacks details about output format, parameter usage, how the templates are produced, and intended use scenarios. It provides only a high-level purpose, leaving significant gaps for an agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description mentions none of the five input parameters (severity, incident_type, affected_services, cross_border_impact, affected_users_estimate). The agent cannot infer how these parameters are used or how to populate the template, adding no value beyond the bare parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a NIS2 incident notification template, specifying three template types (24h early warning, 72h notification, 1-month final report). It differentiates from sibling tools like incident_playbook and nis2_compliance by focusing on notification templates, though it lacks an explicit verb like 'generate' or 'provide'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives. It does not mention incident_playbook, nis2_compliance, or other options, nor does it state prerequisites or scenarios where these templates are appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses a key behavioral trait ('no forced rotation') and selects specific standards, but it does not describe the output format or any side effects. Since the tool has no parameters, the main missing transparency is what the generated policy looks like. The description adds value beyond the name but lacks sufficient detail for full behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences, front-loaded with the purpose and ending with a distinctive policy stance. Every clause adds value—standards, best practices, and a concrete policy decision. There is zero padding or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given zero parameters and no output schema, the description covers the main functional context: what it generates and the guiding standards. However, it does not specify the return value format (e.g., plain text, JSON), which could be important for an agent to invoke or parse correctly. Still, the tool is simple, and the description is a solid starting point.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty (0 parameters), so by the rubric baseline, a score of 4 is appropriate. There are no parameter meanings to explain, and the description does not attempt to introduce any. The tool's behavior is entirely self-contained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: generating a password policy based on authoritative sources (NIST SP 800-63B and BSI). This is a specific verb+resource pairing that immediately distinguishes it from sibling security tools like cve_risk_score or phishing_indicators, which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

While no explicit 'when to use' or 'alternatives' are stated, the purpose is self-evident and no sibling tool overlaps with password policy generation. The 'Modern best practices' and standards reference imply use cases where compliance with NIST/BSI is needed. Slight deduction for not stating exclusions or prerequisites, but context makes it clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of disclosing behavior. It states the tool scores sender, urgency, attachments, and URL patterns, and that it returns a verdict and recommended actions. However, it does not explain how scores are computed, whether inputs are required, or any limitations, leaving notable gaps for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences and 18 words, front-loaded with the primary purpose. Every phrase contributes value—domain, analysis dimensions, and output—with no filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple analysis tool with six optional parameters and no output schema, the description covers the tool's purpose, the key inputs, and the return type (verdict and recommended actions). It could mention edge cases or prerequisite knowledge, but the description is sufficient for a basic phishing-analysis task.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides no descriptions for the six parameters (0% coverage). The description partially compensates by naming 'sender, urgency, attachments, URL patterns,' which maps to sender_email, creates_urgency, has_unexpected_attachment, and suspicious_url, but it omits subject and asks_for_credentials entirely, leaving those parameters' semantics unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description begins with a specific verb and resource: 'Analyze email/URL for phishing indicators.' It clearly distinguishes this tool from sibling risk/compliance tools by focusing on phishing-specific analysis of sender, urgency, attachments, and URL patterns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when phishing suspicion exists, but it does not explicitly state when to prefer this tool over alternatives like incident_playbook or threat_landscape. There are no explicit exclusions or alternative guidance, but the domain-specific wording gives enough context for a basic use case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses two usage modes (provide risks for assessment or get template) and mentions the methodology, which is helpful. However, with no annotations, it does not describe the output format, expected behavior on invalid input, or any side effects, leaving gaps in behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise—three short clauses that immediately convey the tool's identity, methodology, and usage options. Every word earns its place, and the structure front-loads the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with only one optional parameter and no output schema, the description covers the basic functionality adequately. However, it omits what the assessment output looks like (e.g., a computed rating, a matrix visualization), which leaves some ambiguity for the agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already fully describes the single 'risks' parameter format. The description adds meaningful conditional behavior: if risks are provided, assessment happens; if omitted, a template is returned. This goes beyond the schema's static parameter description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a risk assessment matrix combining likelihood and impact, and mentions the ISO 31000/27005 methodology. It distinguishes itself from sibling risk tools by being a generic matrix tool, though the verb 'provide' is less specific than a single action verb.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The ISO methodology implies use for standard risk assessments, but there is no explicit guidance on when to use this tool over alternatives like cve_risk_score or iso27001_gap, nor any exclusions or prerequisites.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must disclose behavioral traits itself. It only states that it is a 'dashboard template' and offers 'reporting guidance,' but does not explain what the tool actually returns, whether it produces a visual dashboard, a document, or data output. No side effects, prerequisites, or limitations are mentioned, leaving significant gaps for an agent invoking the tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, using two sentences and a list of metrics. It front-loads the tool's identity as a 'dashboard template' and includes a list of KPIs. However, it could be slightly better structured with an explicit statement of what the agent should expect, but it avoids unnecessary fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description carries full responsibility for explaining the tool's behavior. It does not specify what the agent will receive (e.g., a rendered dashboard, a markdown template, a JSON object) or what actions the agent can take with it. This incompleteness makes it difficult to use correctly in a broader task.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the schema provides no parameter details. The baseline for 0-parameter tools is 4, and the description adds relevant context about the tool's output (dashboard template with specific metrics), which is sufficient since there is nothing to explain about parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a 'Security KPI/metrics dashboard template' and lists specific metrics (MTTD, MTTR, patch compliance, phishing rate), making its purpose unambiguous. It distinguishes from siblings by focusing on reporting/templates rather than scans or specific risk scores, though it lacks a strong verb like 'generates' or 'provides'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no explicit instructions on when to use this tool versus alternatives. The phrase 'Board-ready reporting guidance' implies a reporting context, but there is no mention of alternatives or exclusions. For example, when should this be chosen over risk_matrix or incident_playbook? No guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It indicates a read-only overview and specifies output content (top 8 threats, mitigations), but does not disclose data sources, update frequency, or any side effects. Lacking explicit safety language is acceptable for a simple overview, yet more detail would be welcome.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two succinct sentences front-load the core purpose and key content details. There is no filler or redundancy; every word contributes meaningfully to the description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description provides essential context for a simple overview tool: the ENISA basis, top 8 threats, sector relevance, and mitigations. However, with no output schema, it could have clarified the result structure or behavior when 'sector' is omitted, leaving a small gap in completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already documents the single 'sector' parameter with a complete list of valid values (energy|finance|healthcare|manufacturing|public_admin|general), giving 100% coverage. The description's mention of 'sector relevance' adds no new parameter detail, aligning with the baseline score of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the tool as a provider of a 'current cyber threat landscape overview' organized by ENISA categories, listing the top 8 threats with sector relevance and mitigations. This specific scope and taxonomy distinguish it from sibling tools like cve_risk_score or phishing_indicators, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used when a broad threat landscape context is needed, but it does not explicitly state when to prefer this over siblings or mention exclusions. No alternative tools are referenced, so usage guidance remains implicit rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.