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get-one

Paid get-one on an extracted-body door. Same URL ?id= ($0.02 / 20000 atomic). Not a new SKU. Unpaid returns HTTP 402 asking 20000.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoOfficial catalog id from free search.
doorNoExtracted-body door name, e.g. gmp. One of: warning-letters, untitled-letters, form-483, gmp, gmp-md, awa, swisspar, pcac, ftc-wl, cfpb-orders, occ-cd, fdic-orders, frb-orders, ncua-orders, fincen-orders, ferc-orders, ofac-orders, bis-orders, cftc-orders, fifra-orders, denovo-orders, ttb-oic, air-letters, superfund-rods, ico-mpn, cma-ca98, ema-referrals, cder-reviews, npdes-permits, ofsted-inspections, ofwat-enforcement, ofgem-enforcement, gain, orr-enforcement, phmsa-orders, aaib-reports
x_paymentNoOptional x402 X-PAYMENT value forwarded to the paid GET as the X-PAYMENT header.

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does disclose the payment requirement, cost ($0.02 / 20000 atomic), and the 402 error for unpaid requests, which is useful. However, it omits other behaviors like whether the call is idempotent, any rate limits, or what a successful response contains. The key payment/error behavior is covered, but not comprehensively.

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 three short sentences with no fluff. It front-loads the key detail ('Paid get-one') and then adds context about the URL and error condition. Every sentence earns its place, making it very concise and well-structured.

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 simple get-one operation, the description provides the essential call context: the parameters (id, door, x_payment) are covered by the schema, and the description explains the payment prerequisite and error behavior. It does not describe the response format, but given no output schema and the simplicity of a get-one, this is a minor gap. The description sufficiently equips an agent to invoke it correctly.

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 100% and each parameter already has descriptive text in the schema. The description adds only the phrase 'Same URL ?id=' which slightly reinforces id usage, but does not add meaning beyond the schema. Since coverage is high, a baseline of 3 is appropriate and the description does not compensate further.

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 clearly states the action ('Paid get-one') on a specific resource ('extracted-body door'), and distinguishes it from siblings by flagging it as paid and not a new SKU. It also mentions the URL and payment, making the purpose unambiguous. This differentiates it from free get-page or search tools.

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 implies usage context ('Paid', 'Same URL') but does not explicitly name alternatives or state when not to use this tool. It hints that a free version exists but does not guide the agent on selecting between them. No explicit exclusions or conditions beyond payment are given.

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.