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CEA Digital B2A Fulfillment Factory

security_cve_audit

Read-only

Audit package vulnerabilities and CVE advisories via OSV.dev database.

Input Schema

NameRequiredDescriptionDefault
packageYesPackage name (e.g. 'jinja2', 'requests')
versionNoSpecific version string (optional)
ecosystemNoEcosystem (PyPI, npm, Go, etc.)PyPI

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is fully covered elsewhere. The description's only additive context is naming OSV.dev as the external source, which reinforces the open-world nature of the query. It says nothing about whether a version is needed for meaningful results or how advisories are ranked/returned, leaving gaps for a lookup tool.

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

Conciseness4/5

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

A single front-loaded sentence with no filler or redundancy. It is efficient, though the terseness borders on under-specification for a tool whose siblings need disambiguating.

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

Completeness3/5

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

For a simple three-parameter read-only lookup with annotations and full schema coverage, the description is minimally sufficient to pick and invoke the tool. It stops short of covering result expectations (severity, advisory count) and the behavioral effect of the optional version parameter, which is the one thing an agent would most want clarified.

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 100%, so all three parameters (package, version, ecosystem with PyPI default) are already documented in the schema. The description adds no meaning beyond that—it does not say that omitting version returns all known advisories or how the ecosystem string should be matched.

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?

States a specific verb ("Audit") and resource ("package vulnerabilities and CVE advisories") plus the underlying data source (OSV.dev), so the agent knows exactly what the call returns in kind. It does not distinguish itself from the nearest sibling, package_health_pulse, which an agent could plausibly confuse with this vulnerability lookup.

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 gives no when-to-use guidance, no prerequisites, and no exclusions relative to package_health_pulse, gcp_catalog_search, or vault_knowledge_search. The agent must infer from the word "CVE" alone when this audit is the right choice.

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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