Skip to main content
Glama
digitalfactorysn

MCP Dolibarr Expert

update_company_info

Update company details in Dolibarr ERP/CRM: set address, phone, email, legal numbers, and currency.

Instructions

Mettre à jour les informations de la société (adresse, téléphone, email, numéros légaux...)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoSite web
zipNoCode postal
nameNoRaison sociale
townNoVille
emailNoEmail de la société
phoneNoTéléphone
siretNoSIRET ou NINEA
addressNoAdresse
capitalNoCapital social
tva_intracomNoNuméro TVA
currency_codeNoCode devise (ex: 'XOF', 'EUR', 'USD')
Behavior2/5

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

There are no annotations, so the description carries the full burden. It only says 'update' without disclosing whether it overwrites existing values, whether fields are optional, or what happens on success/failure. This is a significant gap for a mutation tool.

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, concise sentence that is front-loaded with the action. No unnecessary words or repetition of schema information.

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?

With 11 optional parameters, no annotations, and no output schema, the description lacks critical context. It doesn't explain return values, behavior when fields are omitted, or any potential side effects. The minimal description is insufficient for a tool of this complexity.

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 schema provides 100% parameter descriptions, so the baseline is 3. The description adds a few examples (address, phone, email, legal numbers) but doesn't provide additional semantics beyond the schema's field descriptions.

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's purpose with a specific verb ('Mettre à jour') and resource ('les informations de la société'), listing example fields. It is easily distinguishable from the sibling 'get_company_info' and other configuration tools.

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 provides clear context: this tool is for updating company information. While it doesn't explicitly mention alternatives or when-not-to-use scenarios, the naming and description make it unambiguous compared to the sibling list.

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