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boondmanager-mcp-server

Achats d'une société

boond_companies_purchases
Read-onlyIdempotent

Retrieve purchases and subcontracting for a company by ID. Read-only list of committed purchases, ideal for loading just this section without the full record.

Instructions

Récupère les achats et la sous-traitance d'un(e) société, par son ID.

Quand : pour ne charger que cette section, sans le reste de la fiche. Plutôt que : boond_companies_get pour la fiche de base, ou boond_companies_search si l'ID est inconnu.

Returns : Liste des achats engagés auprès de la société. 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

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description reinforces with 'Lecture seule' and adds the return type (list of purchases), which is useful context. It does not contradict annotations, but it doesn't go much beyond what annotations already cover.

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?

Three concise sentences: purpose, usage guidance, and return type. The information is front-loaded and every sentence earns its place. No fluff or redundancy.

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 read-only tool with a single parameter, the description covers everything needed: what it does, when to use it, and what it returns. The output type is specified, and no other context is missing.

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 100% with a clear description for the id parameter ('Identifiant unique de l'entité BoondManager (numérique)'). The description only says 'par son ID', which adds no new semantic detail beyond the schema. Baseline 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?

The description clearly states the tool's purpose: retrieving purchases and subcontracting for a company by ID. It explicitly distinguishes itself from siblings by naming boond_companies_get (base file) and boond_companies_search (when ID unknown), so an agent can tell them apart.

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?

Provides explicit when-to-use guidance ('pour ne charger que cette section') and directly names alternatives with conditions ('Plutôt que...'). This tells the agent exactly when to select this tool over its siblings.

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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