validate_manufacturing_order
Validate a manufacturing order by its ID to confirm production readiness and approval in Dolibarr.
Instructions
Valider un ordre de fabrication
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Validate a manufacturing order by its ID to confirm production readiness and approval in Dolibarr.
Valider un ordre de fabrication
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavior. It only says 'Validate a manufacturing order' with no information about side effects, state changes, permissions, reversibility, or what 'validation' means in this context. This is a complete lack of behavioral transparency 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, but it is under-specified rather than concisely informative. It provides no value beyond the tool name, so it is not appropriately sized; it omits essential behavioral and usage information.
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?
For a validation tool that presumably mutates state, with no annotations, no output schema, and a single under-documented parameter, the description is grossly incomplete. It does not explain what validation does, what the id is, or what the outcome of the operation is, making it inadequate for safe and correct use.
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, so the description must compensate by explaining the 'id' parameter. It does not mention 'id' at all, nor does it clarify that the id refers to a manufacturing order. The agent must infer this from the tool name, which is insufficient for correct invocation.
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 'Valider un ordre de fabrication' directly translates the tool name 'validate_manufacturing_order' without adding any new information. It is a tautology that restates the resource and action already present in the name, so it fails to add purpose clarity beyond the name itself.
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?
No guidance is provided on when to use this tool vs alternatives like create_manufacturing_order, get_manufacturing_order, or produce_manufacturing_order. The description does not mention prerequisites, conditions, or any exclusion criteria, leaving the agent without context for tool selection.
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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