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André — Analyse électorale française

André — Analyse électorale française

by joelgombin
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Tableau de données

create_data_table
Idempotent

Create a formatted table from structured data to present calculated or combined results clearly.

Instructions

Crée un tableau de données formaté à partir de données structurées.

Utile pour présenter des résultats calculés ou combinés. Retourne un tableau texte formaté.

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": {
      "title": "<title>",
      "columns": "<columns>",
      "rows": "<rows>"
    },
    "name": "create_data_table"
  }
}

Input Schema

NameRequiredDescriptionDefault
rowsYes
titleYes
columnsYes
descriptionNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

The description notes it returns a formatted text table, adding some behavioral context beyond annotations. Annotations already indicate idempotent and non-destructive. However, it lacks details on error behavior or permission requirements.

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 three concise sentences, front-loaded with the main action. No unnecessary words. Every sentence adds value.

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

Completeness2/5

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

With 4 parameters and 0% schema coverage, the description leaves significant gaps. It does not explain how to structure columns and rows, which is critical for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It only says 'from structured data' and does not explain the parameters (title, columns, rows, description). This is insufficient for proper use.

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 verb 'Crée' (creates) and the resource 'tableau de données formaté' (formatted data table). It specifies input as structured data and output as a formatted text table. This distinguishes it from sibling tools like query tools or visualize.

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 says 'Utile pour présenter des résultats calculés ou combinés' (useful for presenting calculated or combined results), giving clear usage context. It does not explicitly state when not to use it or mention alternatives, but the context is sufficient.

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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