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air-letters

GET https://ticks.bnm.farm/air-letters — $0.05 USDC on Base to 0xf59621FC406D266e18f314Ae18eF0a33b8401004. USDA APHIS AIR confirmation-letter text GET ?id= is one official text ($0.02). Newest chunk on a plain GET ($0.05); older chunk if they ask (?before, $0.05); newer than a watermark ?since= ($0.05). Unpaid returns HTTP 402. After a valid X-PAYMENT, the same URL returns JSON. Not a new SKU.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoOfficial catalog id. That one official text, $0.02. Same door, not a new SKU.
pageNo1-based page. Page 1 is the newest chunk. Ignored when since/before is set.
sinceNoISO timestamp or official catalog id. Official texts newer than this watermark, $0.05. Empty new set is 304 or recordCount 0.
beforeNoOfficial catalog id or YYYY-MM-DD. Next older chunk on the same URL, another $0.05. Omit for the newest chunk.
x_paymentNoOptional x402 X-PAYMENT value forwarded to the paid GET as the X-PAYMENT header.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / page / description
      Previous value: -"1-based page. Page 1 is the newest chunk. Ignored when before is set."New value: +"1-based page. Page 1 is the newest chunk. Ignored when since/before is set."
    • addedInput schema / properties / since
      Added value: +{
      +  "description": "ISO timestamp or official catalog id. Official texts newer than this watermark, $0.05. Empty new set is 304 or recordCount 0.",
      +  "type": "string"
      +}
  2. Changed2 schema fields changed
    • changedInput schema / properties / page / description
      Previous value: -"1-based page. Page 1 is the newest chunk. Ignored when since/before is set."New value: +"1-based page. Page 1 is the newest chunk. Ignored when before is set."
    • removedInput schema / properties / since
      Removed value: -{
      -  "description": "ISO timestamp or official catalog id. Official texts newer than this watermark, $0.05. Empty new set is 304 or recordCount 0.",
      -  "type": "string"
      -}
  3. Changed2 schema fields changed
    • changedInput schema / properties / page / description
      Previous value: -"1-based page. Page 1 is the newest chunk. Ignored when before is set."New value: +"1-based page. Page 1 is the newest chunk. Ignored when since/before is set."
    • addedInput schema / properties / since
      Added value: +{
      +  "description": "ISO timestamp or official catalog id. Official texts newer than this watermark, $0.05. Empty new set is 304 or recordCount 0.",
      +  "type": "string"
      +}
  4. First observed

TDQS

A4/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden, and it is unusually transparent: it reveals that unpaid requests return HTTP 402, that a valid X-PAYMENT makes the same URL return JSON, and that pagination is chunk-based with watermark semantics. It also discloses that this is the same endpoint rather than a new SKU, avoiding a likely misunderstanding.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and contains no padding, but it is awkwardly structured: payment details and pricing are interleaved throughout, and the sentence fragments are dense enough to slow comprehension. It is information-efficient rather than clearly front-loaded, so it is adequate but not exemplary.

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 paid endpoint with no output schema and no annotations, the description covers payment, pricing, error behavior, pagination modes, and the X-PAYMENT mechanism. The main gap is that it never describes the shape of the returned JSON beyond saying it is JSON and mentions recordCount only inside a parameter description. Still, for a proprietary paid endpoint this is a strong level of context.

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%, and the input schema already explains id, page, since, before, and x_payment in detail, so the baseline is 3. The description does add pricing context and the relationship between payment and the x_payment parameter, but it does not substantially expand parameter meaning beyond 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 states a specific verb and resource (GET air-letters) and identifies the domain: USDA APHIS AIR confirmation-letter text. It distinguishes fetching one official text by id from fetching chunked lists, which makes the core purpose clear. It does not explicitly contrast this tool with any sibling tool, so it falls 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?

The description gives concrete usage conditions for plain GET, ?id, ?before, and ?since, explaining which variant to use and what each costs. It also covers the payment requirement and the 402 behavior for unpaid requests. It does not explicitly say when to prefer air-letters over sibling tools, but the parameter-level usage guidance is strong.

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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