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profile_hipocampo

Guarda un dato de perfil personal en Hipocampo (memory_items).

A diferencia de save_hipocampo (que guarda en memoria_vectorial técnica),
esta herramienta guarda en memory_items, que está diseñado para datos
personales: gustos, familia, preferencias, datos biográficos.

Args:
    summary: Texto corto con el dato personal. Ej: "Al usuario le gusta el té de hierbas".
    extra: Información adicional en texto plano (opcional).
    categories: Categorías (opcional). Ej: ["personal_info", "gustos"].

Returns:
    Confirmación con el ID asignado.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extraNo
summaryYes
categoriesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior4/5

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

With no annotations provided, the description carries the behavioral burden. It clearly indicates that the tool persists a memory item, specifies the data domain, and states the return value (confirmation with assigned ID). It does not discuss side effects like overwrite or idempotency, but for a simple low-risk create operation this is reasonably transparent.

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 compact and well-structured: purpose and differentiation first, then clean Args and Returns sections. Every sentence contributes useful information, with no redundant filler.

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 required parameter and an output schema, the description is complete. It tells the agent what the tool does, when to use it, what each parameter means, and what the return will be, so no critical calling information is missing.

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?

Schema description coverage is 0%, so the description must compensate. It documents all three parameters with type guidance, optionality, and useful examples for summary and categories. This adds substantial meaning beyond the bare schema.

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 states a specific action ('Guarda un dato de perfil personal'), identifies the resource (Hipocampo memory_items), and explicitly differentiates itself from the sibling save_hipocampo. An agent can immediately understand this tool is for personal-profile memory, not technical vector memory.

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?

The description names the main alternative (save_hipocampo) and explains the decisive distinction: this tool stores personal data in memory_items while save_hipocampo stores technical data in memoria_vectorial. This gives the agent a clear selection rule.

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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