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Look up a FIRMS code

lookup_firms_code
Read-onlyIdempotent

Get the CBP FIRMS record for one code: facility name, status (active or deleted), facility type, address, CBP port, location, and the other codes registered at the same address. Deleted codes and "DO NOT USE" placeholders (junk: true) are returned with warnings. A code that is not on the list returns a not_found error, which still counts as a call. Wraps GET /v1/firms/{code}. Live keys (fapi_live_...): one counted call. Test keys (fapi_test_...): fixture sample data, not counted.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "code": "<code>"
    },
    "name": "lookup_firms_code"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYes4-character FIRMS code, e.g. E430.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds substantial context beyond them: deleted codes and 'DO NOT USE' placeholders are flagged with junk: true, a not_found error still consumes a counted call, and live vs. test keys behave differently for billing. It also discloses the underlying endpoint GET /v1/firms/{code}.

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?

Four tight sentences, front-loaded with the payload description, then edge cases (deleted/junk), then error semantics, then billing/endpoint. Nothing is repeated from the schema or annotations.

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?

With no output schema, the description carries the return-value burden and does so by listing every returned field, plus error and quota behavior. An agent can call this correctly without further information.

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 the schema already documents the single 'code' parameter with a pattern and example (E430). The description adds only 'for one code', which conveys cardinality but no syntax or format detail beyond the schema, so the baseline of 3 applies.

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?

States a specific verb and resource ('Get the CBP FIRMS record') plus the exact scope ('for one code') and enumerates the fields returned. The single-code framing implicitly separates it from search_firms_facilities, but it never names validate_firms_code or any sibling explicitly.

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 phrase 'for one code' implies the usage context (you already know the code) and the not_found behavior hints at what happens on a miss, but there is no explicit when-to-use guidance and no direction on when to pick validate_firms_code or search_firms_facilities instead.

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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