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CorporateTravelDC

CorporateTravel Dispatch MCP

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dispatch_get_notams

Read-onlyIdempotent

Obtain active Notices to Air Missions (NOTAMs) for DC-area airports and airspace from the FAA API.

Instructions

Get active NOTAMs (Notices to Air Missions) from the dispatch platform.

Requires FAA_NOTAM_API_KEY to be configured on the Pi. Returns NOTAMs from the FAA NOTAM API covering DC-area airports and airspace.

Returns: str: JSON list of NOTAM objects, or feed-error string if key not configured. Each NOTAM includes: id, type, location, effective_start, effective_end, text (raw NOTAM text).

Examples: - "Any NOTAMs for KIAD?" -> call, filter by location=='KIAD' - "Are there any runway closures at DCA?" -> call, filter by location and text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Beyond annotations (readOnlyHint, idempotentHint), the description discloses the need for an API key, the return type (JSON list or error string), and the content of each NOTAM object. This adds valuable behavioral context without contradicting annotations.

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 concise and well-structured, with a clear explanation of purpose, requirements, return format, and examples. It could be slightly more compact, but it effectively communicates all necessary information.

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?

Despite no parameters and an output schema, the description fully covers prerequisites, return format, usage, and source. It provides examples and explains error conditions, making it complete for an AI agent.

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?

With no parameters, the schema provides full coverage, so the description's mention of API key configuration is sufficient extra context. No further parameter information is needed.

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 tool gets active NOTAMs from the dispatch platform, specifying the source (FAA NOTAM API) and coverage (DC-area airports and airspace). The verb 'Get' and resource 'NOTAMs' are specific, and the tool is easily distinguished from sibling tools like dispatch_get_alerts or dispatch_get_tfr.

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

Usage Guidelines4/5

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

The description includes a prerequisite (FAA_NOTAM_API_KEY configuration) and provides usage examples showing how to filter by location or text. However, it does not explicitly state when not to use the tool or compare it to alternatives, leaving some ambiguity.

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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