Skip to main content
Glama
digitalfactorysn

MCP Dolibarr Expert

validate_intervention

Validate a draft intervention in Dolibarr to finalize it and make it official. Confirms intervention details and sets its status to validated for further processing.

Instructions

Valider une fiche d'intervention brouillon

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
Behavior2/5

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

There are no annotations, so the description carries full responsibility. It only says 'validate' without explaining what validation entails (e.g., status change, finalization, side effects). The behavior remains opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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 appropriately sized for a simple tool, though it lacks critical detail. This is conciseness without under-specification issues at the structural level.

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?

Given the tool's simplicity (one parameter, no annotations, no output schema), the description is incomplete. It omits parameter semantics, behavioral effects, and usage context, leaving the agent with insufficient information to confidently invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema defines a single 'id' parameter but the description provides no explanation of its meaning (e.g., which id is expected). Schema description coverage is 0%, and the description does not compensate by describing the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Valider' = Validate) and the resource ('une fiche d'intervention brouillon' = a draft intervention form). It distinguishes from other validate_* tools by specifying the resource type, though it doesn't explicitly contrast with related intervention actions like close_intervention.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool vs alternatives. It does not mention prerequisites (e.g., the intervention must be a draft), potential consequences, or situations where another tool would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/digitalfactorysn/mcp-dolibarr'

If you have feedback or need assistance with the MCP directory API, please join our Discord server