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xavimf87

mcp-govern

by xavimf87

cgpj_cercar_sentencies

Search Spanish judicial rulings from the Audiencia Nacional by text. Find corruption, embezzlement, and public administration crime sentences with ROJ, ECLI, and URL.

Instructions

Cerca sentències al CENDOJ (Centre de Documentació Judicial).

Cerca resolucions judicials de l'Audiència Nacional per text. Retorna ROJ, ECLI, data i URL de cada sentència. Molt útil per trobar sentències de corrupció, malversació, prevaricació, suborn i altres delictes contra l'administració pública.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPàgina de resultats
textNoText lliure per cercar a les resolucions (ex: 'malversación', 'cohecho', 'prevaricación')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

There are no annotations, so the description bears the burden. It discloses that the tool returns ROJ, ECLI, date, and URL per sentence. It does not mention side effects or rate limits, but the read-only nature is implied.

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?

The description is two short paragraphs. The first states purpose, the second adds context. It is efficient but could be more front-loaded.

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?

Given an output schema exists, the description does not need to explain return values, but it does mention the fields. It also provides example crimes and states the dataset source, making it complete for a search tool.

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?

Schema coverage is 100%, so baseline is 3. The description adds value by listing example search terms like corruption-related crimes, which is beyond the schema's parameter descriptions.

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 specifies the resource (CENDOJ judicial decisions) and the action (search by text). It also mentions specific crime types, clearly distinguishing this tool from sibling tools that handle datasets, contracts, or other data.

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 states to search for sentences from the National Court by text and provides example use cases (corruption, embezzlement, etc.). However, it does not explicitly exclude other uses or mention alternative tools, but the context is clear.

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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