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security_audit_sbom_continuous

Register an SBOM for continuous vulnerability monitoring, then check anytime for new CVEs affecting your dependencies. Supports CycloneDX and SPDX formats.

Instructions

Persistent SBOM watch. Register once, check anytime for new CVEs affecting your dependency snapshot. Silent permanent watch — CycloneDX and SPDX supported. Uses OSV.dev for vulnerability lookup, Redis for persistence with 90-day TTL. Supports CycloneDX 1.4/1.5 and SPDX 2.3 JSON. Input size limit: 500 KB. Returns go_no_go signal on register; new_findings on check. Rate limit: 10/minute. No auth required. For DevSecOps teams monitoring production dependency exposure. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_audit_sbom_continuous", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sbomYes
watch_idYes
actionYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations, the description fully discloses behavioral traits: silent permanent watch, supported formats (CycloneDX, SPDX), external service (OSV.dev), persistence (Redis, 90-day TTL), input size limit (500 KB), rate limit (10/min), auth requirement (none), and output signals (go_no_go, new_findings). No contradictions.

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 dense paragraph that front-loads key information. It is concise but could benefit from structured formatting for easier parsing. Still, it effectively conveys all necessary details without verbosity.

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

Completeness5/5

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

Given the tool's complexity (persistent monitoring, multiple actions, rate limits, auth, output), the description covers all relevant aspects. It includes a fallback mechanism and notes output signals, making it complete for this context.

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 coverage is 0%, yet the description only indirectly explains the 'action' parameter via workflow. The 'sbom' and 'watch_id' parameters are not explicitly described; 'sbom' is implied as a dependency snapshot but lacks format details beyond those in the description. The description fails to fully compensate for missing schema documentation.

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 as a persistent SBOM watch for continuous CVE monitoring, differentiating it from one-time vulnerability checks. It specifies supported formats and the workflow (register, check, deregister).

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 indicates usage for DevSecOps teams monitoring production dependency exposure and provides a fallback to report_feedback if the response is inadequate. However, it does not explicitly exclude alternative tools for one-time scans.

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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