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link_hipocampo

Crea un enlace entre dos recuerdos en el grafo de memoria.

Args:
    source_id: ID del recuerdo origen (numérico: memoria_vectorial; string: memory_items).
    target_id: ID del recuerdo destino.
    relation_type: Tipo de relación. Valores comunes:
                   "related" (default), "follow_up", "part_of",
                   "references", "similar", "chain", "validates", "contradicts".
    weight: Peso de la relación (0.0 a 1.0, default 1.0).

Returns:
    Confirmación del enlace creado.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
weightNo
source_idYes
target_idYes
relation_typeNorelated

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does it reasonably well: it states the creation side effect, common relation_type values, weight bounds/defaults, and a return confirmation. It does not disclose edge-case behavior such as duplicate links or missing IDs, but the primary mutation is clear.

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: one summary sentence, an Args block with each parameter on its own line, and a Returns line. It is front-loaded and every line earns its place.

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?

The description covers the required parameters, optional defaults, and the return confirmation, which is enough to invoke the tool for a simple link operation. It would be stronger with an example or error behavior, but the core invocation context is not missing.

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 0%, and the description compensates by explaining all four parameters: source_id/target_id roles, relation_type values with default, and weight range/default. However, it claims source_id can be a string for memory_items while the schema declares integer, making the added guidance not fully consistent.

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 opening sentence 'Crea un enlace entre dos recuerdos en el grafo de memoria' names a specific verb, resource, and context. The action is clearly distinct from sibling tools such as unlink_hipocampo, so an agent can understand what the tool does without extra inference.

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

Usage Guidelines2/5

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

The description explains how to link memories but gives no guidance on when to choose this tool over alternatives. It does not mention the inverse relation with unlink_hipocampo or any preconditions such as the memories existing. Usage context is entirely left to the agent.

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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