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Guardar secciones de la ficha de la marca

update_brand_profile
DestructiveIdempotent

Guarda una o varias secciones de la ficha de la marca, que los bots de comentarios y mensajes leen como Manual. Cambia solo las secciones nombradas: el resto, y lo escrito a mano por el admin, queda igual. Cada sección queda firmada con el nombre de este asistente. Contenido vacío borra esa sección. Hasta 8.000 caracteres por sección. Muestra al usuario lo que vas a guardar antes.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "sections": "<sections>"
    },
    "name": "update_brand_profile"
  }
}

Input Schema

NameRequiredDescriptionDefault
brand_idNoID de la marca (de list_brands). Usa solo la marca que el usuario nombró; si no la nombró y hay varias, pregúntale cuál.
sectionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Goes well past the annotations: it explains merge behavior (only named sections change, admin's hand-written text is preserved), that empty content deletes a section (concretely grounding destructiveHint=true), that each section is signed with the assistant's name, and the per-section size cap. This is exactly the kind of mutation context an agent needs before writing.

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?

Five tight, front-loaded sentences that each carry operational content: scope, merge rule, signing, deletion, limit, and the preview instruction. The 8.000-character sentence partly duplicates the schema's maxLength, which is the only real redundancy.

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 destructive, idempotent write tool with 2 parameters and no output schema, the description covers scope, merge semantics, deletion, audit signing, limits, and a safety check. The only gap is that it says nothing about what is returned after saving, which matters slightly since there is no output schema.

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 coverage is 50% and the schema already documents brand_id sourcing from list_brands, the key enum meanings, and the 8000-char maxLength. The description restates the size limit and the empty-deletes-section rule but adds no new parameter-level meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Concrete verb+resource: save one or more sections of the brand profile that comment/DM bots read as a manual, with explicit partial-update semantics ('Cambia solo las secciones nombradas'). It does not distinguish itself from the sibling update_brand_manual, so an agent facing both tools gets no help choosing between them.

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 gives workflow guidance ('Muestra al usuario lo que vas a guardar antes') and merge semantics, so usage is implied rather than spelled out. It never states when to prefer this over update_brand_manual or get_brand_manual, and no prerequisites or exclusions are given.

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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