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fedreg_doc_lookup

US Federal Register document by document number: title, agencies, document type, publication date and effective date. $0.001 per call via x402 (USDC on Base); response includes a provenance chain and an Ed25519 attestation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
paymentNoLegacy: base64 x402 payment header value. Prefer _meta["x402/payment"]; omit for a free quote.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / payment / description
      Previous value: -"Encoded x402 X-PAYMENT header value. Omit to receive the payment requirements (free quote)."New value: +"Legacy: base64 x402 payment header value. Prefer _meta[\"x402/payment\"]; omit for a free quote."
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the cost ($0.001 per call via x402) and that responses include a provenance chain and Ed25519 attestation, but it omits what happens on missing/invalid payment, rate limits, or error behavior.

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 short and front-loads the resource and return fields, then adds payment/attestation context. Every clause contributes meaningful information, though the semicolon-joined payment clause could be slightly better integrated.

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

Completeness4/5

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

For a two-parameter lookup with no output schema, the description covers the resource, returned fields, cost, and attestation. It lacks usage guidance and id formatting, but given the low complexity and the schema's payment description, it is reasonably complete.

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 coverage is 50%: the 'payment' parameter is fully described in the schema, while 'id' is not. The description adds only that the id is a 'document number' and lists output fields, but does not clarify format, accepted syntax, or examples. This partially compensates for the coverage gap but remains minimal.

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 clearly states the resource (US Federal Register document) and the lookup key (document number), and enumerates the returned fields. It distinguishes itself from siblings implicitly by resource specificity, but does not explicitly name or contrast with any sibling tool, so it falls 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 Guidelines2/5

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

There is no explicit when-to-use guidance, no alternatives, and no prerequisites. The phrase 'by document number' implies the necessary input but does not tell the agent when to prefer this tool over e.g. congress_bill_lookup or ecfr_title_status.

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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