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check_exploit_availability

Search GitHub for public proof-of-concept exploit repositories for a specific CVE, sorting results by star count to identify credible exploits.

Instructions

Search GitHub for public proof-of-concept (PoC) exploit repositories for a CVE. Results are sorted by star count to surface the most credible exploits first.

Args: cve_id: CVE identifier (e.g. CVE-2021-44228)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cve_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it searches GitHub repositories, sorts results by star count to surface credible exploits, and specifies the input format for CVE IDs. However, it doesn't mention rate limits, authentication needs, or pagination behavior.

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

Conciseness5/5

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

The description is efficiently structured with two sentences covering purpose and sorting logic, followed by a clearly labeled Args section. Every sentence adds value, and information is front-loaded with no wasted words.

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

Completeness4/5

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

Given the tool's moderate complexity (searching external repositories), no annotations, and the presence of an output schema (which handles return values), the description is largely complete. It covers purpose, behavior, and parameters well, though it could benefit from mentioning authentication or rate limits given the external API call.

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

Parameters5/5

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

With 0% schema description coverage and only one parameter, the description fully compensates by explaining the 'cve_id' parameter in the Args section, including its purpose and providing an example format (CVE-2021-44228). This adds essential meaning beyond the bare schema.

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

Purpose5/5

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

The description clearly states the tool's purpose with specific verbs ('Search GitHub for public proof-of-concept exploit repositories') and resource ('for a CVE'), distinguishing it from siblings like 'lookup_cve' or 'get_cve_summary' which focus on CVE metadata rather than exploit availability. It precisely defines what the tool does without being tautological.

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

Usage Guidelines4/5

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

The description implicitly suggests usage when seeking exploit PoCs for a given CVE, but does not explicitly state when to use this tool versus alternatives like 'check_poc_exists' (a sibling tool with similar-sounding purpose). It provides clear context but lacks explicit exclusions or named alternatives.

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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