get_reception
Get supplier reception details by ID from Dolibarr to verify received items and update inventory.
Instructions
Obtenir les détails d'une réception fournisseur
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Get supplier reception details by ID from Dolibarr to verify received items and update inventory.
Obtenir les détails d'une réception fournisseur
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits beyond the basic action, such as read-only nature, permission requirements, error handling, or return format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no extraneous information, perfectly concise and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of annotations, output schema, and guidance on usage or parameters, the description is minimal and leaves out important context for correct invocation, especially for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage for the 'id' parameter, and the description does not compensate by explaining that 'id' is the identifier of the reception, leaving the parameter semantics unsupported.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (get details) and the resource (supplier reception), effectively distinguishing it from sibling list_receptions by specifying 'details' and 'fournisseur'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for retrieving details, but does not explicitly state when to use it versus list_receptions or other related tools, nor does it mention alternatives or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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'
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