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digitalfactorysn

MCP Dolibarr Expert

configure_accounting_autolettering

Activate automatic accounting lettering in Dolibarr. Configure the enable_lettering and enable_autolettering parameters to match transactions automatically.

Instructions

Guide pour activer le lettrage comptable automatique.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
enable_letteringNo
enable_autoletteringNo
Behavior2/5

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

With no annotations provided, the description carries full responsibility for disclosing behavior. It only says 'guide to activate', but does not clarify whether this is a write operation, what settings are modified, or any side effects. It fails to inform the agent about the tool's impact.

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, short sentence that is concise and front-loaded with the key purpose. However, it is so brief that it borders on under-specification, but it earns points for having no unnecessary filler.

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 two parameters, no annotations, and no output schema, the description is inadequate. It explains neither the individual parameters nor the expected outcome beyond 'activating' something. The description does not cover enough ground for an agent to invoke the tool correctly.

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 has two parameters (enable_lettering, enable_autolettering) with 0% schema description coverage. The description does not mention these parameters at all, providing no meaning beyond the bare field names. The agent is left without any idea of valid values or their roles.

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 tool's purpose: guiding the activation of automatic accounting lettering. This is specific and distinguishes it from sibling configuration tools like configure_vat_mode or configure_invoice_options. However, it lacks an explicit verb like 'configure' or 'activate', relying on the noun 'guide'.

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?

The description provides no guidance on when to use this tool versus other accounting configuration tools. There are no mentions of context, prerequisites, or which scenarios call for automatic lettering, leaving the AI agent without direction on selecting this tool.

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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