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search_registry

Search the FAA aircraft registry by N-number prefix and/or manufacturer/state/year (FAA-public data).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "search_registry"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNoN-number or prefix, e.g. N172.
yearNoYear manufactured filter.
stateNoUS state code filter, e.g. NJ.
manufacturerNoManufacturer name filter.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose data provenance ('FAA-public data'), which hints at a read-only public-record lookup, but it says nothing about result caps, pagination, partial-match versus exact-match behavior, or whether empty parameters return the entire registry.

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?

A single front-loaded sentence with no filler; the resource, filters and data source all appear immediately. It is efficient, though the brevity is partly the cause of the missing usage and behavior detail rather than a virtue in itself.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter search tool with no annotations, no output schema and nine sibling tools, the one-line description leaves too much unsaid: result volume, pagination, how filters interact, and what a returned registration record contains. An agent could invoke it but could not predict its results or choose it confidently over search_aircraft.

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%, so all four parameters already carry their own definitions and examples, making 3 the baseline. The description adds only marginal meaning: 'N-number prefix' clarifies that q does prefix matching and 'and/or' implies filters can be combined, which the schema does not state explicitly.

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 ('Search the FAA aircraft registry') plus the queryable dimensions (N-number prefix, manufacturer, state, year) and data provenance ('FAA-public data'). It is clear what the tool does, but it never distinguishes itself from the sibling search_aircraft, so an agent cannot tell which search surface to pick from the description alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance; the sibling search_aircraft is never mentioned, nor is get_registration for a single known tail number. The description also does not say whether filters combine with AND or OR, or what happens when all four optional parameters are omitted.

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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