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ecab-decisions

GET https://ticks.bnm.farm/ecab-decisions — $0.05 USDC on Base to 0xf59621FC406D266e18f314Ae18eF0a33b8401004. ECAB FECA Decision and Order 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. Added

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations provided, the description carries full behavioral burden and does so thoroughly: it discloses payment requirements, the exact payment address and cost, HTTP 402 on unpaid requests, the need for X-PAYMENT, the JSON response format, pagination semantics, and empty-set behavior via 304 or recordCount 0.

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 dense but not bloated; every clause carries operational information. Some phrasing is awkward and the run-on structure could be cleaner, but it front-loads the URL and payment requirement and avoids filler.

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?

For a paid, paginated API with no output schema and no annotations, the description is remarkably complete. It covers authorization, pricing, error codes, response type, pagination rules, parameter interactions, and even edge cases like empty new sets. An agent has enough information to invoke it correctly.

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?

The input schema already covers all five parameters at 100%, so the baseline is 3. The description adds value by attaching pricing and access semantics to the parameters: ?id is the official text at $0.02, while ?since and ?before are priced chunk operations at $0.05, and it clarifies that page is ignored when since/before is set.

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 names a specific resource (ECAB FECA Decision and Order text), a concrete access method (GET on the ticks.bnm.farm URL), and distinguishes retrieval modes by query parameter. It clearly tells an agent what this tool provides and separates it from the many sibling agency-document tools.

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 clear conditions for each usage mode: plain GET returns the newest chunk, ?before returns older chunks, ?since returns newer-than-watermark texts, and ?id returns one official text. It does not explicitly name alternatives or exclusions, but the context is strong enough for correct selection.

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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