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sinewaveai

agent-security-scanner-mcp

by sinewaveai

sbom_check_hallucinations

Detect hallucinated package names in SBOMs by verifying each package against official registries. Supports npm, PyPI, RubyGems, and more.

Instructions

Check all packages in an SBOM against official registries to detect hallucinated (AI-invented) package names. Supports npm, pypi, rubygems, dart, perl, raku, crates. Go/Java marked as unsupported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sbom_pathNoPath to existing SBOM file
verbosityNoResponse detail level (default: compact)
directory_pathNoPath to project root (generates fresh SBOM)
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It mentions querying official registries and unsupported ecosystems, but lacks details on authentication, rate limits, network requirements, or error handling. Critical behavioral traits are missing.

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?

Two concise sentences with front-loaded purpose. Every sentence provides essential information with no waste.

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?

Covers core purpose and supported ecosystems, but lacks details on output format, prerequisites (e.g., internet access), and failure modes. Given the absence of an output schema and annotations, some gaps remain.

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 the schema already documents each parameter. The description adds context about generating a fresh SBOM via directory_path, but does not significantly enhance parameter understanding beyond the 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 checks SBOM packages against official registries to detect hallucinated names. It specifies supported ecosystems and explicitly marks unsupported ones, making it distinct from sibling tools like sbom_scan_vulnerabilities or sbom_diff.

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

Usage Guidelines3/5

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

The description implies use for SBOM validation but does not explicitly state when to use this tool over alternatives like sbom_scan_vulnerabilities. No when-not or alternative guidance is provided.

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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