gestaoclick_ordens_servicos_get
Ordens de serviços: Visualizar (GET /api/ordens_servicos/{id}).
Bulk support: accepts ids for batched execution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| ids | No | ||
| query | No | ||
| account | No |
Ordens de serviços: Visualizar (GET /api/ordens_servicos/{id}).
Bulk support: accepts ids for batched execution.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| ids | No | ||
| query | No | ||
| account | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the bulk support behavior, which is useful, but does not disclose any other behavioral aspects like authentication requirements, rate limits, or response 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 two sentences long, front-loaded with the core purpose, and every sentence carries meaning. It efficiently conveys the primary function and the bulk support capability without redundancy.
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 simple GET nature, the annotations provide strong safety context, and the description covers bulk support. However, it does not explain the 'account' or 'query' parameters, which could be essential for multi-tenant systems or filtering. The lack of output schema makes the response format unclear, though this is not strictly required.
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?
Schema description coverage is 0%, meaning the description does not explain most parameters. It only mentions 'ids' for batch execution, leaving 'id', 'query', and 'account' unexplained. Since the schema has 4 parameters, the description fails to compensate for the low coverage, adding minimal semantic value.
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 tool's purpose: 'Visualizar (GET /api/ordens_servicos/{id})' which means to view a specific service order by ID. It uses a specific verb, resource, and HTTP method, making it distinct from the sibling list tool which fetches all orders.
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 a specific order by ID and mentions bulk support for multiple IDs, but it does not explicitly state when to use this tool versus alternatives like the list tool or when not to use it. No exclusions or alternative references are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.