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Package Integrity Verify

verify
Read-onlyIdempotent

Check package integrity and SLSA provenance by verifying SHA-256 hashes against npm or PyPI registries. Confirms the package was built from its claimed source repository.

Instructions

Verify package integrity and SLSA provenance against registries.

    Checks SHA-256/SRI hashes against npm/PyPI registries and looks up
    SLSA build provenance attestations to confirm the package was built
    from its claimed source repository.

    Returns:
        JSON with integrity verification (hash match, expected vs actual)
        and provenance status (SLSA level, source repo, build trigger).
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
packageYesPackage name with optional version, e.g. 'express@4.18.2' or 'requests==2.31.0'.
ecosystemNoPackage ecosystem: 'npm' or 'pypi'.npm

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, and openWorldHint, covering safety and idempotency. The description adds beyond that by detailing the actions (hash checking, provenance lookup) and return values, providing useful behavioral context without contradiction.

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 concise and front-loaded with purpose. It includes a returns section, but every sentence adds value. No redundancy, though the returns block could be slightly more terse.

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?

With full schema coverage, annotations covering behavioral aspects, and an output schema present (mentioned in context), the description fully covers the tool's operation, parameters, and return values. No gaps remain for an agent to use it correctly.

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 both parameters adequately. The description adds minimal extra value beyond repeating the ecosystem and package format, but it does hint at registries used. Baseline 3 is appropriate.

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: verifying package integrity and SLSA provenance. It uses specific verbs like 'checks' and 'looks up' and identifies resources (hash, provenance) and registries (npm/PyPI), distinguishing it from sibling tools like 'scan' or 'compliance'.

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 the tool is used for package integrity verification but does not explicitly state when to use this tool over alternatives (e.g., 'check' or 'scan'). No exclusions or when-not-to-use 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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