FAQ
get_faqRetorna as perguntas frequentes da empresa.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| company | Yes | Slug da empresa: guapissimas, compraracoes ou indexagent. |
get_faqRetorna as perguntas frequentes da empresa.
| Name | Required | Description | Default |
|---|---|---|---|
| company | Yes | Slug da empresa: guapissimas, compraracoes ou indexagent. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond that — no mention of return shape, whether the FAQ list is long, or any filtering behavior. A description that merely restates the resource without extra behavioral context earns a low score here.
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?
One short, front-loaded sentence with no waste. It is efficient, though its brevity is partly why other dimensions are thin.
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 simple read-only, single-enum-parameter tool with no output schema, the description is minimally sufficient: annotations cover safety and the schema covers the parameter. It still omits what the FAQ response contains (structure, volume) and how it relates to sibling resources.
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 100% and the single company parameter has an enum with an explicit slug description, so the schema carries the meaning fully. The description adds no parameter detail of its own, which is the baseline 3 case.
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?
States a specific verb ("Retorna") and resource ("perguntas frequentes da empresa"), and the name confirms it. However it offers no differentiation from the sibling get_policies, which is a closely related resource an agent could easily confuse it with.
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?
There is no guidance on when to use this tool versus get_policies or get_company, and no prerequisites or exclusions are stated. The agent must infer usage purely from the name.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.