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

No annotations are provided, so the description carries the full burden. 'Audits ... for known vulnerabilities' implies a read-only analysis with no mutation, but the description does not state whether it depends on an external vulnerability database, whether results are cached or rate-limited, or how exhaustive the recommendations are.

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?

A single front-loaded sentence with no filler: verb, accepted inputs, and result are all in the first clause. Nothing is repeated or wasted.

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 two-parameter, fully-schema-documented stateless audit tool with no output schema, the description covers both input formats and the output ('fix recommendations'). It would be complete with a brief note on the recommendation/finding format, but the core is present.

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 100% and both parameters are documented in the schema. The description only restates that content is the raw manifest and implies manifest_type is one of the two named formats, adding no syntax or format detail beyond the enum already in the schema.

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?

States a specific verb (audits), resource (raw contents of requirements.txt or package.json) and outcome (returns fix recommendations), which makes the tool's function unambiguous. It does not explicitly differentiate itself from siblings, and 'returns fix recommendations' partially overlaps with get_safe_recommendation, so the boundary is left to inference.

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 it (you have a raw manifest string in either of two formats), but gives no explicit when-to-use vs alternatives guidance and never mentions the sibling tools. No exclusions, prerequisites, or routing conditions are stated.

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 must carry the behavioral burden. 'Retrieves' clearly implies a read-only, non-destructive operation and the description lists returned fields, but it does not disclose authentication needs, rate limits, or error behavior for missing CVEs.

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?

A single front-loaded sentence with no wasted words. Every phrase either identifies the operation or enumerates the key returned data.

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 single-parameter read tool with no output schema, the description sufficiently covers what is returned (metadata, CVSS, severity, affected ranges). It lacks usage alternatives but is otherwise complete for the tool's complexity.

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 coverage is 100% and the single parameter is fully documented with an example. The description adds only 'specific CVE ID', which the schema already conveys, so the baseline score of 3 is appropriate.

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?

States a specific verb ('Retrieves') and resource ('vulnerability metadata, CVSS score, severity, and affected ranges') scoped to 'a specific CVE ID'. It implicitly distinguishes itself from search_cve by requiring an exact ID, though it does not name the sibling explicitly.

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 phrase 'for a specific CVE ID' implies the tool should be used when the exact identifier is already known, which contrasts with a search tool. However, it provides no explicit when-not conditions or named alternatives.

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 behavioral burden. It says the tool returns a version, but does not disclose safety profile, permissions, error behavior, or what happens when no safe version exists.

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 with no wasted words. It states the core action and return value immediately.

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 and the schema is fully documented, but there is no output schema and the description does not cover return shape details, failure cases, or absence of a safe version. It is minimally complete but leaves meaningful gaps.

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 100%, and all three parameters are documented in the schema. The description mentions package and version but adds no meaningful parameter semantics beyond the schema, so baseline 3 is appropriate.

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 uses a specific verb and resource: returns the minimum safe version for a package/version. It is clearly distinct from sibling tools like search_cve and audit_manifest, though it does not explicitly name or differentiate against them.

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?

It implies the tool is used when patching vulnerabilities, but it gives no explicit when-to-use guidance, prerequisites, exclusions, or alternatives among the sibling tools.

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 adds useful behavioral context: the database is local and searches have zero latency. It still omits important operational details such as result format, matching behavior, result limits, or whether it is strictly read-only, leaving some burden unmet.

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 with no wasted words. It efficiently combines purpose, accepted input forms, and a key performance trait.

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 one-parameter search tool, the description covers the core purpose and input modes. However, with no output schema and no annotations, it does not explain what results look like or when an agent should move from search to get_cve_details.

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 100%, so the sole query parameter is already well documented. The description reinforces that the query can be a CVE ID, package name, or keyword, but adds little beyond what the schema examples already provide.

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 gives a specific verb and resource: searching a local CVE database. It also names the accepted lookup modes (CVE ID, package name, keyword), making the tool distinguishable from a detail-fetching sibling, but it does not explicitly differentiate itself from get_cve_details.

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 appropriate usage by listing lookup modes such as CVE ID, package name, and keyword. However, it does not explicitly state when to use this search tool versus get_cve_details, audit_manifest, or get_safe_recommendation, nor does it give exclusions.

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