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sachitha7

mcp-server-dolibarr

by sachitha7

dolibarr_create_proposal

Create a commercial proposal header in Dolibarr for a given client, with optional validity and payment terms. Add line items using the associated tool.

Instructions

Create a new commercial proposal (quote) header. Add line items afterwards with dolibarr_add_proposal_line.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
socidYesThirdparty (client) ID
dateNoUnix timestamp; defaults to now if omitted
duree_validiteNoValidity in days, e.g. 30
note_publicNo
note_privateNo
cond_reglement_codeNoPayment terms code, e.g. '30D', 'RECEP'
Behavior3/5

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

No annotations exist, so the description must bear the burden. It discloses that only the header is created and that lines are added separately, which is useful. However, it lacks details on side effects, authentication needs, or error conditions.

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 sentence with two clear, front-loaded clauses. Every word serves a purpose, with no redundancy.

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

Completeness4/5

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

Given the moderate complexity (6 parameters, 1 required) and no output schema or annotations, the description provides essential information about the tool's purpose and workflow linkage. It could be enhanced with a brief note on required parameters, but the schema already covers that.

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 covers 67% of parameters with descriptions. The tool description does not add extra meaning beyond the schema, so a 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 clearly states the verb 'Create' and the resource 'commercial proposal (quote) header'. It also distinguishes from sibling tools by noting that line items are added with dolibarr_add_proposal_line, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use: create header first, then add lines via a sibling. It does not explicitly state when not to use or provide alternatives, but the context of sibling tools makes the usage pattern clear.

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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