gestaoclick_produtos_get
Produtos: Visualizar (GET /api/produtos/{id}).
Bulk support: accepts ids for batched execution.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | ||
| ids | No | ||
| query | No | ||
| account | No |
Produtos: Visualizar (GET /api/produtos/{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, destructiveHint=false, and idempotentHint=true, covering safety. The description adds the bulk execution capability ('accepts ids for batched execution'), which is extra behavioral info. It does not describe response format or any edge cases, but the annotations lower the bar; the added bulk note is useful, so a 3 is appropriate.
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 extremely concise: two sentences that cover the purpose, endpoint, and bulk capability. It is front-loaded with the action ('Visualizar') and resource, with no unnecessary fluff. Every word earns its place, making it a model of brevity.
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?
The tool has 4 parameters (one required) and no output schema. The description only mentions the endpoint and bulk support, but does not explain the required 'id', the optional 'query', or 'account'. It also doesn't describe the return structure. Given the complexity of multiple parameters, the description is incomplete and does not fully prepare the agent for invocation.
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 coverage is 0% and the description does not explain any parameters except indirectly mentioning 'ids' for bulk support. It does not describe what 'id', 'query', or 'account' mean, leaving the agent without guidance. The description fails to compensate for the lack of schema descriptions, so it provides minimal value for parameter understanding.
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: 'Produtos: Visualizar' (Products: View) and specifies the endpoint GET /api/produtos/{id}, indicating it retrieves product details. It distinguishes from siblings like gestaoclick_produtos_list by focusing on viewing a specific product, and mentions bulk support. However, it could be more explicit that it's for a single product or multiple IDs, but the endpoint makes it fairly clear.
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: use this tool when you have a product ID (or multiple IDs) to view them. It does not explicitly contrast with the list tool or mention when not to use it. The endpoint and name suggest the use case, but there is no direct guidance on alternatives, so it's adequate but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.