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digitalfactorysn

MCP Dolibarr Expert

create_order

Create a new customer order in Dolibarr by specifying the customer ID, order date, delivery date, payment terms, and public note.

Instructions

Créer une nouvelle commande client

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate de la commande ISO 8601 (ex: '2025-01-31')
socidYesID du tiers client
note_publicNoNote visible sur le BdC
date_livraisonNoDate de livraison souhaitée ISO 8601
cond_reglement_idNoID condition de paiement
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'create' and does not mention the order's initial status, whether the customer must already exist, or what the response contains. This is a significant gap for a mutating ERP operation.

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 a single, front-loaded sentence with no wasted words. It is as concise as possible for a purpose statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 5 parameters, no output schema, and no annotations, the one-line description is inadequate. It leaves out critical context such as default order state, required dependencies, and next steps like adding lines or validating.

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 already documents all 5 parameters with 100% coverage, so the description adds no parameter-level meaning. It provides no additional context about relationships between parameters or typical usage, but the schema does the heavy lifting.

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 uses the verb 'Créer' and identifies the resource as 'commande client' (customer order), clearly distinguishing it from sibling tools like create_supplier_order and create_proposal. It is specific and unambiguous about what the tool does.

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 implies use when creating a new customer order, but it provides no explicit guidance on when to use this tool versus alternatives such as convert_proposal_to_order or add_order_line. There is no mention of prerequisites or follow-up steps.

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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