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Dilligence — certidões de empresas

approve_fee

Aprova a taxa do órgão para um item (ex. CETESB R$ 138 = 25 créditos, além do crédito da certidão) e retoma a busca. Gasta créditos: confirme com o usuário antes.

Input Schema

NameRequiredDescriptionDefault
item_idYes
diligence_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description carries the full burden, and it does disclose the two things that matter most: the call consumes credits and it has a state side effect (resumes the search). It omits irreversibility, failure behavior, and what happens if the item has no pending fee, which keeps it from a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two compact clauses with the action first and the cost warning immediately after; the CETESB credit-cost example earns its place by making the pricing model concrete. No filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter mutation with no annotations and no output schema, the description covers the consequence and the prerequisite but not the parameters or the result state. Adequate to act on, but an agent still has to guess what the IDs are and what comes back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so both item_id and diligence_id are undocumented in structured data and the description must compensate. It only implies item_id via 'para um item' and says nothing about diligence_id — its provenance, format, or relation to the item — leaving half the parameters uninterpretable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — approves the agency fee for an item — and adds a second effect, resuming the search, which an agent could not infer from the name alone. It is clearly distinct from siblings like buy_credits or check_payment, though it never names an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The clause 'Gasta créditos: confirme com o usuário antes' gives a real precondition (user confirmation before spending), which is more than most descriptions offer. However, it never says when this tool applies versus check_payment or buy_credits, nor what to do if credits are insufficient, so usage is implied rather than spelled out.

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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