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Verithic · official data by municipality

Sources and method · Fuentes y metodología

metodologia_fuentes
Read-onlyIdempotent

The official sources behind Verithic's figures (publisher, link, licence, period, read date, next read), what each reason for a missing value means, how the sentence of each figure, the similar towns and the indices by dimension are computed, and what is not available yet. — Las fuentes oficiales detrás de las cifras de Verithic (organismo, enlace, licencia, periodo, fecha de lectura, próxima lectura), qué significa cada motivo de dato ausente, cómo se calculan la frase de cada cifra, los municipios parecidos y los índices por dimensión, y qué aún no está disponible.

Input Schema

NameRequiredDescriptionDefault
languageNoResponse language: "es" (default) or "en". Idioma de la respuesta.es

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety and idempotency are covered. The description usefully adds what the returned content actually contains (sources, missing-value semantics, computation notes, gaps), but says nothing about response format or structure beyond the topic list.

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?

It is a single content-list sentence, front-loaded with the primary subject ('The official sources behind Verithic's figures'). The bilingual duplication doubles the length, but that repetition is a deliberate localization pattern rather than verbal padding.

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-required-parameter, read-only reference tool with no output schema, the description thoroughly enumerates the categories of information returned. An agent knows what asking for methodology documentation yields; little beyond response structure is missing.

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?

Only one parameter (language) exists, and its schema description already documents the enum and default at 100% coverage. The description adds nothing about the language parameter, so the schema fully carries the burden — baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates exactly what content the tool returns: official sources (publisher, link, licence, period, read dates), meanings of missing-value reasons, computation methods for sentences/similar towns/dimension indices, and current gaps. This is a clear content-coverage statement for a documentation resource. It does not, however, distinguish itself from the many data-oriented siblings (e.g., municipios_similares, ficha_municipio), which compute or return the figures this tool only explains.

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

Usage Guidelines3/5

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

Usage is implied by the content list: an agent should call this when it needs provenance or methodology explanations rather than data. There is no explicit 'when to use this vs. X' statement and no exclusions, so the routing guidance is left to inference.

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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