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hipocampo_auto_repair

Intenta reparar automáticamente problemas detectados en el sistema.

Reparaciones posibles:
- Reiniciar PostgreSQL si está caído
- Crear tablas faltantes desde esquema.sql
- Verificar/configurar NVIDIA_API_KEY

Returns:
    Reporte de reparaciones ejecutadas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Since no annotations are provided, the description carries the transparency burden. It explicitly lists mutating actions (restart, create tables, configure), which discloses the nature of the tool, though it does not mention potential side effects like downtime or the need for elevated permissions.

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 a brief purpose statement, a clear list of repair actions, and a simple return description. Every sentence contributes meaning without fluff.

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

Completeness3/5

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

The description mentions a return value but only as 'Reporte de reparaciones ejecutadas', which is vague. Since there is no output schema, more detail about the report format or content would improve completeness. The list of repairs is helpful, but the return specification is thin.

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

Parameters5/5

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

The schema has no parameters, so there is nothing to explain. The description adds no irrelevant parameter info, and the score reflects that nothing is missing.

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 tool's purpose as automatically repairing detected system issues, with specific repair actions listed (restart PostgreSQL, create missing tables, configure NVIDIA_API_KEY). It is distinct from sibling tools like health checks or maintenance routines.

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?

The description implies use when problems are detected, but it does not explicitly contrast with alternative tools or state when not to use it. Sibling tools like 'hipocampo_health' and 'hipocampo_maintenance' exist, so clearer usage guidance would be beneficial.

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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