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resolve_entity_suggestion

Acepta o descarta una sugerencia del Atlas (ver get_entity_suggestions). Aceptar crea la entidad (o confirma la sombra que ya existía) y la vincula a los recaps donde apareció; descartar no la vuelve a ofrecer. Para crear una entidad que nadie sugirió, upsert_entity.

Input Schema

NameRequiredDescriptionDefault
nameYesNombre tal como viene en la sugerencia
typeYesTipo de la sugerencia (campo `type`): person, project, organization…
actionYes
workspace_idNoUUID del workspace, o su nombre tal como lo dice el usuario ('Acme', 'el personal'). Omitir si el token ya tiene workspace fijo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false and destructiveHint=false, but the description goes further: accepting creates the entity (or confirms an existing shadow) and links it to the recaps where it appeared, while dismissing suppresses future offers. That is real behavioral disclosure beyond the annotations, though it doesn't say whether accept/dismiss is reversible or what is returned.

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?

Compact three-sentence block: purpose first, then per-action consequence, then the sibling-tool routing. No filler and the routing guidance is placed where an agent will see it before deciding.

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 mutating tool with no output schema, the description covers the meaningful outcomes (entity creation/linkage, suppressed re-suggestion) and the workspace caveat is handled in the schema. Only the return payload and reversibility remain unspecified, which is a minor gap.

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?

Schema description coverage is 75% (name, type, workspace_id documented; action is a self-evident enum), and the description adds little parameter-level detail beyond mapping accept/dismiss to outcomes. With the schema doing most of the work, a 3 is appropriate.

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?

States a specific verb pair (accept/discard) on a specific resource (an Atlas entity suggestion), and explicitly names the related siblings get_entity_suggestions and upsert_entity. An agent can distinguish it from upsert_entity and merge_entities without opening any schema.

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?

Names the alternative for each case: use get_entity_suggestions to obtain suggestions, and upsert_entity when creating an entity nobody suggested. The accept-vs-dismiss condition is spelled out, leaving nothing 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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