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ftc-wl

GET https://ticks.bnm.farm/ftc-wl — $0.05 USDC on Base to 0xf59621FC406D266e18f314Ae18eF0a33b8401004. FTC BCP warning-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). 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 before is set.
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.

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and is unusually candid: it discloses the exact price in USDC, the payment address and chain, HTTP 402 for unpaid requests, JSON after a valid X-PAYMENT, and per-parameter cost differences. It does not define what a 'chunk' contains or how to obtain a valid X-PAYMENT value, but the core payment/behavioral profile is clear.

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 compact and front-loaded with the URL, price, and payment destination, and nearly every clause carries information. It loses a point for cryptic phrases like 'Not a new SKU' and 'Same door', plus dense punctuation that makes the access modes harder to parse than necessary.

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?

For a paid 4-parameter endpoint with no output schema, the description covers a lot: payment, pagination modes, 402 failure, and JSON success. However, it never describes the JSON response structure, does not explain how a valid X-PAYMENT is obtained from the payment, and relies on the schema to define 'chunk'/page semantics, leaving an agent to discover some details dynamically.

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 covers 100% of the parameters, giving a solid baseline. The description adds genuinely useful semantics by tying costs to specific access patterns (?id costs $0.02, ?before costs $0.05, plain GET is newest chunk) and reinforcing that id is the same catalog entry, not a separate SKU. That helps an agent estimate cost and choose the right parameter.

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 ('FTC BCP warning-letter text') and a concrete HTTP access pattern (GET URL, payment, JSON response). It also explains the three access modes (official text by id, newest chunk, older chunk) and says 'Not a new SKU', which hints at its relationship to an existing catalog. It does not explicitly differentiate from sibling tools like warning-letters, so it is not 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 Guidelines3/5

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

The description gives conditional usage within the tool: plain GET for the newest chunk, ?before for an older chunk, and ?id for the single official text, plus a clear unpaid/paid behavior split. However, it never tells the agent when to choose ftc-wl over sibling alternatives, and 'Not a new SKU' is too cryptic to serve as a real alternative/exclusion.

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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TDQS

B3.4/5.0
Disambiguation3/5

Most tools map cleanly to distinct regulatory document collections (FDA, EPA, FDIC, etc.), so the majority are unambiguous. However, 'search' and 'firm-check' both offer free search with overlapping scope, and 'get-one' vs 'get-page' are easily confused payment operations. Similar prefixed names like mariners, mariners-d7/d8/d11 and gmp/gmp-md add further boundary fuzziness.

Naming Consistency3/5

The bulk of tools follow a consistent lowercase-hyphenated source-slug convention (aaib-reports, cder-reviews, cfpb-orders), which is predictable. But utility tools break the pattern with imperative/descriptive names (search, firm-check, get-one, get-page), and 'ticks' is a bare noun that doesn't fit either style. The mixed conventions are readable but not uniform.

Tool Count2/5

At 46 tools, this is a heavy surface that will be unwieldy for an agent to navigate and select from. Each tool does represent a distinct data product, but the sheer volume exceeds what earns its place in a coherent MCP tool set. A door-based catalog design might work better with a smaller number of parameterized tools.

Completeness4/5

The core workflow is well covered: per-door search, cross-door search, single-document retrieval via ?id=, paginated page retrieval, and payment handling are all present. Minor gaps exist, such as no tool to enumerate all available doors/catalogs or inspect schemas, and firm-check returns only citations rather than bodies. Overall it's a complete access lifecycle for the data-shop domain.