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by io.github.whiteknightonhorse
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CheckWX Decoded TAF

checkwx.taf.decoded
Read-onlyIdempotent

Decoded TAF forecast for airports — issued time, valid window, per-period forecast objects (wind, visibility, weather conditions, sky). Each forecast change block parsed into structured JSON.

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": {
      "icao_codes": "<icao_codes>"
    },
    "name": "checkwx.taf.decoded"
  }
}

Input Schema

NameRequiredDescriptionDefault
icao_codesYesComma-separated ICAO airport codes (uppercase 4 letters). Max 25 per call. Examples: 'KJFK,EGLL,RJTT', 'KSFO', 'EDDF'.

Output Schema

NameRequiredDescriptionDefault
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so the description's added behavioral context is limited (e.g., parsing into structured JSON). No contradictions.

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 succinct (two sentences), front-loads the tool's purpose, and omits unnecessary details. Every sentence adds value.

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?

For a tool with a single parameter and an output schema, the description adequately explains the output format. No additional context is needed given the annotations and schema richness.

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?

The input schema already provides full coverage (100%) with detailed constraints and examples for the only parameter (icao_codes). The description adds little beyond stating the output structure, which is not parameter-specific.

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 provides decoded TAF forecasts for airports, listing specific elements (issued time, valid window, per-period forecast objects). This distinguishes it from siblings like checkwx.metar.decoded (METAR) and aviation.taf.forecast (raw TAF).

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 implicitly indicates when to use this tool (for decoded TAF forecasts), and sibling names clarify alternatives. However, it lacks explicit statements about when not to use or direct comparisons to similar tools.

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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