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digitalfactorysn

MCP Dolibarr Expert

get_setup_values

Read Dolibarr global configuration constants (setup values). Filter by module like FACTURE, SOCIETE, or MAIN to target specific settings.

Instructions

Lire les constantes de configuration globale de Dolibarr (paramètres de configuration)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
moduleNoFiltrer par module (ex: 'FACTURE', 'SOCIETE', 'MAIN')
Behavior2/5

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

With no annotations provided, the description is the sole source of behavioral disclosure. It indicates a read operation ('Lire') but does not mention return format, response size, pagination, or any potential side effects, which is insufficient for an agent.

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, efficient sentence that immediately conveys the tool's purpose. It is front-loaded with the key verb and resource, with no wasted words.

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?

The description lacks information about the return structure, which is critical because there is no output schema. It does not explain what the 'constants' look like (e.g., key-value format), how many are returned, or how module filtering affects the result, leaving the agent under-informed.

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 the 'module' parameter with examples. The description adds no further meaning beyond the schema, so the baseline of 3 applies given 100% schema coverage.

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 tool reads global configuration constants of Dolibarr, using the specific verb 'Lire' (read) and identifying the resource. It naturally distinguishes from the sibling 'set_setup_value' and other config getters like 'get_accounting_config' by focusing on global settings.

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 alternatives. It does not mention exclusions or conditions, leaving the agent to infer usage from the name alone.

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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