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silamir

boondmanager-mcp-server

by silamir

Rechercher des achats/sous-traitance

boond_purchases_search
Read-onlyIdempotent

Search BoondManager purchases and subcontracting by company or project to track spend commitments and subcontracting. Use for purchase commitments, not received supplier invoices.

Instructions

Recherche des achats et sous-traitances dans BoondManager, avec filtres par société et projet.

Quand : pour suivre les engagements de dépense et la sous-traitance. Plutôt que : boond_provider_invoices_search pour les factures effectivement reçues : l'achat est l'engagement, la facture fournisseur le document qui le solde.

companyId / projectId sont convertis en références keywords (CSOC / PRJ) : l'API n'a pas de paramètre dédié.

Returns: Liste des achats correspondants.

  • fields : projection côté MCP, jamais transmise à l'API — remplace le résumé par les seuls attributs/relations listés (noms inconnus ignorés). À utiliser sur les grosses pages.

  • Pagination : pageSize 1–500 (défaut 30), page 1–100 — au-delà : refus, affiner les filtres.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoNuméro de page (défaut: 1, max: 100)
fieldsNoProjection : attributs ou relations (type#id) par résultat (ex: ['title','dependsOn']). Absent = résumé standard. Noms inconnus ignorés.
keywordsNoMots-clés de recherche
pageSizeNoNombre de résultats par page (max: 500, défaut: 30)
companyIdNoFiltrer par ID société (référence keywords CSOC<id>)
projectIdNoFiltrer par ID projet (référence keywords PRJ<id>)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesNombre d'éléments retournés sur cette page
itemsYes
totalNoNombre total de résultats côté BoondManager

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.18.0
    • changedInput schema / properties / fields / description
      Previous value: -"Projection : attributs à afficher par résultat (ex: ['title','updateDate']). Absent = résumé standard. Noms inconnus ignorés."New value: +"Projection : attributs ou relations (type#id) par résultat (ex: ['title','dependsOn']). Absent = résumé standard. Noms inconnus ignorés."
  2. Changed7 schema fields changedv2.17.0
    • changedInput schema / properties / companyId / description
      Previous value: -"Filtrer par ID société"New value: +"Filtrer par ID société (référence keywords CSOC<id>)"
    • addedInput schema / properties / companyId / pattern
      Added value: +"^\\d+$"
    • changedInput schema / properties / page / description
      Previous value: -"Numéro de page (max: 100)"New value: +"Numéro de page (défaut: 1, max: 100)"
    • changedInput schema / properties / pageSize / description
      Previous value: -"Résultats par page"New value: +"Nombre de résultats par page (max: 500, défaut: 30)"
    • changedInput schema / properties / projectId / description
      Previous value: -"Filtrer par ID projet"New value: +"Filtrer par ID projet (référence keywords PRJ<id>)"
    • addedInput schema / properties / projectId / pattern
      Added value: +"^\\d+$"
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": false,
      +  "properties": {
      +    "count": {
      +      "description": "Nombre d'éléments retournés sur cette page",
      +      "type": "number"
      +    },
      +    "items": {
      +      "items": {
      +        "additionalProperties": false,
      +        "properties": {
      +          "attributes": {
      +            "additionalProperties": {},
      +            "description": "Attributs projetés (présent si `fields` est fourni)",
      +            "propertyNames": {
      +              "type": "string"
      +            },
      +            "type": "object"
      +          },
      +          "id": {
      +            "type": "string"
      +          },
      +          "summary": {
      +            "description": "Résumé standard (absent si `fields` est fourni)",
      +            "type": "string"
      +          },
      +          "type": {
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "total": {
      +      "description": "Nombre total de résultats côté BoondManager",
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "count",
      +    "items"
      +  ],
      +  "type": "object"
      +}
  3. Changed1 schema field changedv2.12.2
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
  4. Changed1 schema field changedv2.9.0
    • addedInput schema / properties / fields
      Added value: +{
      +  "description": "Projection : attributs à afficher par résultat (ex: ['title','updateDate']). Absent = résumé standard. Noms inconnus ignorés.",
      +  "items": {
      +    "type": "string"
      +  },
      +  "type": "array"
      +}
  5. 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 readOnly/idempotent/openWorld, so safety is covered. The description adds real behavioral context beyond them: the 'fields' projection is MCP-side and never transmitted to the API, and pagination caps (>500 or page>100) cause an outright refusal requiring filter refinement. Auth needs and rate limits remain unstated, keeping it from a 5.

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?

Front-loaded with a labeled structure ('Quand :', 'Plutôt que :', 'Returns:') and bullets for fields and pagination. Every sentence earns its place; 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?

Output schema exists, so return-value detail isn't required, yet the description still gives a one-line return summary. Combined with routing guidance, projection semantics, and pagination bounds, an agent has everything needed to call this correctly against a large sibling set.

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 baseline is 3. The description exceeds that by disclosing that companyId/projectId are internally translated to keywords references (CSOC<id>/PRJ<id>) because the API has no dedicated parameter, and by clarifying that 'fields' replaces the standard résumé and that unknown names are ignored — semantics the schema alone doesn't convey as clearly.

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 and resource (recherche des achats et sous-traitances dans BoondManager) and immediately scopes it to filters by company and project. It distinguishes itself from the many sibling *_search tools by naming the conceptual object it operates on.

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?

Explicit 'Quand :' clause gives the trigger (suivre les engagements de dépense et la sous-traitance) and the 'Plutôt que :' clause names boond_provider_invoices_search with the exact decision rule (achat = engagement, facture fournisseur = document qui le solde). Nothing is left 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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