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boondmanager-mcp-server

Factures d'un contact

boond_contacts_invoices
Read-onlyIdempotent

Get invoices for a given contact ID, loading only the invoice section rather than the full contact record. Read-only.

Instructions

Récupère les factures d'un(e) contact, par son ID.

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

Returns : Liste des factures adressées au contact. 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, idempotentHint=true, and destructiveHint=false. The description adds that the tool returns a list of invoices addressed to the contact and loads only that section rather than the full contact record. This is useful behavioral context beyond the annotations.

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, front-loaded with the core purpose, and uses clear labeled sections: Quand, Plutôt que, and Returns. Every sentence contributes useful information with no filler.

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 lookup with one well-documented parameter, the description covers what the tool returns, when to use it, which alternatives exist, and its read-only nature. No output schema is present, but the return description is sufficient for this tool.

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?

The input schema has 100% description coverage for the single id parameter, including format guidance and pattern. The description only repeats 'par son ID' without adding new parameter semantics, so the baseline score of 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 states a specific verb and resource: 'Récupère les factures d'un(e) contact, par son ID'. It also explicitly distinguishes this tool from boond_contacts_get and boond_contacts_search, so an agent can confidently select it among many siblings.

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 'Quand' section explicitly states when to use the tool ('pour ne charger que cette section, sans le reste de la fiche'), and the 'Plutôt que' section names the alternatives with their conditions. This is ideal usage 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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