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Lilambd Data for Agents

licenses

Open Source Licenses (SPDX). License metadata for dependency scanners, SBOM tools, package registries and AI coding agents. Routes: /{id}; /search (q, osi_approved, limit, offset). Paid $0.005 USDC per call via x402 (_meta["x402/payment"]); set sample=true for a free 3-row preview.

Input Schema

NameRequiredDescriptionDefault
routeYesOne of: /{id}, /search. Replace {placeholders} with a value, e.g. /search or /HND.
paramsNoQuery parameters, e.g. {"q":"tokyo","limit":"50"}
sampleNoFree preview, max 3 rows

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden and does well by disclosing the paid x402 model ($0.005 USDC per call) and the free 3-row sample preview. It does not explicitly state read-only safety, error behavior, or response characteristics, so it falls short of a 5.

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?

The description is compact and front-loaded: resource identity comes first, followed by routes, payment details, and preview behavior. Every sentence contributes useful selection or invocation information with no filler.

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?

The description covers routing, search parameters, payment, and free preview well, which is important given there are no annotations. However, with no output schema and no stated return shape, error behavior, or payment failure handling, an agent still lacks some context needed to interpret results confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description adds useful route-specific parameter meaning by listing /search query fields (q, osi_approved, limit, offset) and explaining sample=true. It does not fully document parameter types or edge cases, but adds real value beyond the generic params object in the schema.

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?

The description names a specific resource (Open Source Licenses / SPDX) and makes its domain clear against unrelated sibling tools like airports or colors. It implies retrieval via route listing and use cases, but never states an explicit verb such as 'get' or 'search', keeping it just short of a 5.

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?

It provides clear usage context by naming target consumers (dependency scanners, SBOM tools, package registries, AI agents) and listing available routes. It also explains the free preview via sample=true, but does not explicitly say when to choose /{id} versus /search or when not to use the tool.

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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