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lichen911

Aviation MCP Server

by lichen911

query_registration

Search the FAA registration database for aircraft details using N-number, serial number, or Mode S code. Retrieve owner information, specifications, and registration status.

Instructions

Query FAA aircraft registration database.

Search the FAA aircraft registration database for detailed information about registered aircraft, including owner information, aircraft specifications, and registration status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYesThe search value (N-Number, serial number, or Mode S code)
query_typeYesType of query to perform. Options: - "n_number": Search by N-Number/registration (e.g., '100', '1000A', 'N12345') - "serial": Search by aircraft serial number - "mode_s": Search by Mode S code hex (e.g., 'A004B3')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It does not mention that this is a read-only operation, any rate limits, authentication requirements, or potential side effects. The agent is left without important safety context.

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 consists of two concise, front-loaded sentences. The first sentence states the core action, and the second expands on what information is returned. No superfluous text.

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?

Given the presence of an output schema, the description adequately covers the tool's purpose and parameters. However, it omits potential limitations (e.g., result count limits, pagination) which would be helpful for a query tool. It is minimally complete but not thorough.

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 coverage is 100%, and the description's parameter field provides concrete examples for 'value' (e.g., 'N12345', 'A004B3') and enumerates possible 'query_type' options with examples. This adds meaningful context beyond the schema's property descriptions.

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 specifies the tool's action ('Query') and resource ('FAA aircraft registration database'), and details the kind of information returned (owner info, specs, status). Despite not contrasting with sibling tool 'query_aircraft', the purpose is unambiguous and specific.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., 'query_aircraft'), nor does it mention prerequisites or exclusions. The agent lacks context to differentiate use cases.

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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