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Yarroudh

cityjson-mcp

by Yarroudh

CityJSON backend status

cityjson_backend_status

Check which external CityJSON/CityGML engines are installed and callable. Run this to diagnose backend-dependent operation failures.

Instructions

Check which external CityJSON/CityGML engines are installed and callable. Run this first when a backend-dependent operation fails.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the burden of explaining behavior. It states that the tool checks installation and callability, which is useful, but it does not disclose output format, possible side effects, or whether external processes are invoked. This is acceptable for a simple status check but not fully transparent.

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?

Two short, purposeful sentences with no wasted words. The key action is front-loaded and the usage recommendation follows naturally.

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

Completeness4/5

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

For a zero-parameter diagnostic tool, the description covers what the tool does and when to run it. It does not specify the return value format, but the intent is clear enough; a brief note on output would make it fully complete.

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?

The tool has zero parameters, so there is nothing for the description to add about parameter meaning. The baseline of 4 applies because no parameter documentation burden exists.

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 uses a specific verb ('Check') and names a specific resource ('external CityJSON/CityGML engines installed and callable'), clearly distinguishing this diagnostic tool from the many file-operation siblings. It also frames the tool's role relative to backend-dependent failures.

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?

It explicitly tells the agent when to run this tool: 'Run this first when a backend-dependent operation fails.' It does not mention exclusions or alternatives, but there are no obvious status-check siblings, so the guidance is clear and actionable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.