consultas_simples
Situação no Simples Nacional / SIMEI de um CNPJ.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cnpj | Yes |
Situação no Simples Nacional / SIMEI de um CNPJ.
| Name | Required | Description | Default |
|---|---|---|---|
| cnpj | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and idempotentHint=true, covering the operational safety profile. The description adds no further behavioral details, such as error handling, output format, or potential side effects, but does not contradict annotations.
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, concise sentence that front-loads the key purpose without extraneous detail, earning full marks.
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 is simple (one parameter, no output schema), but the description is minimal. It does not outline what 'situação' entails (e.g., status string, full registration details), leaving the agent to infer the response structure.
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?
With zero schema description coverage, the description compensates by explicitly mentioning 'CNPJ', clarifying that the single 'cnpj' parameter refers to the tax ID. It does not, however, specify format or validation rules (e.g., digits only, masks).
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 function: it retrieves the Simples Nacional / SIMEI status for a CNPJ. This is specific and distinguishes it from sibling tools targeting other data domains (e.g., CPF, FGTS, federal debits).
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 name and description imply usage for Simples Nacional status queries, but there is no explicit guidance on when to prefer this tool over alternatives or exclusions. The context is implied, not stated.
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.
Every tool has a clearly distinct purpose. The consulta tools target specific databases (CND, FGTS, trademarks, sanctions) with descriptive names, and the administrative tools (authenticate, marketplace, etc.) are unrelated to the queries. No two tools appear to perform the same function.
The majority of tools follow a consistent 'consultas_' prefix with descriptive suffixes, but the administrative tools (authenticate, connect, marketplace, report_bug, etc.) break the pattern with plain verb/noun names. This creates two distinct naming conventions within the same server.
At 29 tools, the set is bloated. The inclusion of a full marketplace tool and generic admin/version/feedback utilities goes beyond the core 'consultas' purpose, making the count feel excessive. The query tools themselves are numerous but could be trimmed.
The set covers a wide range of Brazilian data consultations, from debts and tax status to trademarks, patents, and sanctions. Minor gaps exist (e.g., no general court case search beyond SEEU), but the core domain is well covered and agents can accomplish most common query tasks.