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boondmanager-mcp-server

Détails d'un(e) business unit

boond_business_units_get
Read-onlyIdempotent

Fetch full business unit details by numeric ID. Use after a search to get attributes omitted from list results.

Instructions

Récupère la fiche complète d'un(e) business unit par son ID numérique.

Quand : après un boond_business_units_search, pour obtenir les attributs qui n'apparaissent pas dans le résumé de liste. Plutôt que : boond_business_units_search si l'ID n'est pas connu (cet outil n'accepte pas de nom).

  • Un ID inconnu remonte l'erreur BoondManager telle quelle — l'ID doit venir de boond_business_units_search, jamais d'une supposition.

Returns : JSON de l'entité (attributs + relations) tel que renvoyé par l'API. Lecture seule.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesIdentifiant unique de l'entité BoondManager (numérique)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.12.2
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  2. Changed3 schema fields changedv2.7.0
    • changedInput schema / properties / id / description
      Previous value: -"Identifiant unique de l'entité BoondManager"New value: +"Identifiant unique de l'entité BoondManager (numérique)"
    • removedInput schema / properties / id / minLength
      Removed value: -1
    • addedInput schema / properties / id / pattern
      Added value: +"^\\d+$"
  3. First observedv2.1.0

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds useful context: the return value is the full entity JSON with attributes and relations, and unknown IDs surface BoondManager's raw error. This exceeds what annotations alone provide, though it does not describe auth or other operational details.

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 well-structured and front-loaded: the main purpose is stated first, followed by clear usage conditions and return information. Every sentence adds value, and the bullet/list formatting makes it easy to parse.

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 single-parameter, read-only get-by-ID tool, the description covers the key operational concerns: when to use it, where the ID comes from, error behavior, and the shape of the response. No critical information is missing for correct invocation.

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 100%, so the schema already documents the id parameter. The description adds semantic guidance by emphasizing that the ID is numeric and must be obtained from boond_business_units_search rather than guessed, which helps the agent understand the provenance and validity constraints of the parameter.

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 ('Récupère la fiche complète') and resource ('business unit par son ID numérique'), and differentiates it from the sibling search tool by saying it accesses attributes missing from the list summary. An agent can clearly understand what this tool does and how it differs from boond_business_units_search.

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 explicitly says when to use it ('après un boond_business_units_search'), what to use instead in a different situation ('Plutôt que : boond_business_units_search si l'ID n'est pas connu'), and warns that the ID must come from search, never from guesswork. This is strong, actionable guidance.

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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