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Hug0x0

mcp-reunion

reunion_compare_communes

Compare 2 to 5 La Réunion communes on population, area, QPV count, businesses, accidents, and priority schools. Returns a row per commune for benchmarking and demographic studies.

Instructions

Side-by-side comparison of 2 to 5 La Réunion communes on key indicators: latest population (total), surface area (km²), QPV count, active SIRENE establishments, 2019 road accidents, priority-education schools count. All dimensions fetched in parallel for each commune. Returns one row per commune with all indicators. Useful for benchmarking, demographic studies, policy targeting. For deep-dive on one commune use reunion_commune_profile.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
communesYesArray of 2 to 5 commune names. Each is used as case-sensitive prefix match. Example: ["Saint-Denis", "Saint-Pierre", "Le Tampon"]
Behavior4/5

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

With no annotations, the description discloses key behaviors: parallel fetching, row-per-commune output, and list of indicators. It lacks error handling or rate limit details, but adequately covers the main behavioral traits.

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 concise with five short sentences, each adding value, front-loaded with purpose, and no wasted words.

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 simple tool with one parameter, the description covers purpose, indicators, parallel fetching, output structure, and provides usage context, making it complete.

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 coverage is 100% and description adds no extra parameter semantics beyond the schema's 'case-sensitive prefix match' detail, so baseline 3 is appropriate.

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 it performs side-by-side comparison of 2-5 communes on specific indicators, distinguishing it from the sibling reunion_commune_profile for deep dives.

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

Usage Guidelines5/5

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

It explicitly states when to use (benchmarking, demographic studies, policy targeting) and when to use an alternative (reunion_commune_profile for deep-dive), providing excellent guidance.

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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