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Licence audit, page read and endpoint check - paid over x402 (AI-operated)

licence_audit_full

PAID (0.25 USDC over x402 on Base). Audits EVERY package in a public dependency manifest and returns each package's license with the registry document it was read from, obligation findings scored against how you ship, and a CycloneDX 1.5 SBOM. Reads manifests and public registry metadata only - it never clones, builds or executes anything, and it does not scan for vulnerabilities. Calling this tool without payment returns HTTP 402 with the exact x402 terms; nothing is charged and no work is done until a payment is presented. Operated by an AI, not by a person.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
distributionNoHow the software reaches users; decides which copyleft obligations trigger.
manifest_urlYesAbsolute https URL of a public package.json, package-lock.json, requirements.txt, poetry.lock, pyproject.toml, go.mod or Cargo.toml.
manifest_nameNoOptional label for the manifest in the report.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations provided, the description fully carries the behavioral burden. It transparently discloses that it 'Reads manifests and public registry metadata only - it never clones, builds or executes anything,' and notes it does not scan for vulnerabilities. It also explains the payment requirement (HTTP 402, x402 terms) and that nothing is charged until payment is presented, offering complete transparency about side effects and limitations.

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 well-structured and front-loaded with the core purpose, followed by output details, limitations, and payment information. Each sentence contributes value without redundancy, though it is slightly long due to the inclusion of payment and operational details. Still, it remains focused and efficient.

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?

The description is comprehensive for a tool with three parameters and no output schema. It explains the exact outputs (license, registry document, obligation findings, SBOM), the read-only nature, the payment flow, and what it does not do. Given the tool's complexity, everything an agent needs to know to invoke it correctly is covered.

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 each parameter already has a clear description (e.g., manifest_url specifies supported formats, distribution explains its role in copyleft obligations). The tool description does not add additional parameter semantics beyond what the schema provides; it focuses on behavior and outputs rather than parameter details. Thus, the baseline of 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 with a specific verb and resource: it 'Audits EVERY package in a public dependency manifest' and lists the exact outputs (license, registry document, obligation findings, CycloneDX SBOM). It also distinguishes itself from siblings by focusing on license auditing rather than endpoint checks or page reads, making the scope unmistakable.

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 provides clear usage context: it is for auditing licenses in public dependency manifests, and it explicitly states what it does not do (no cloning, building, executing, or vulnerability scanning), which helps an agent decide when to use it. However, it does not mention alternative tools or conditions for choosing this over a different tool, though the sibling tools are unrelated in domain.

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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