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macedoflp

Asaas MCP Server

by macedoflp

simulate_payment

Confirm receipt of an Asaas charge in Sandbox to test payment workflows, with optional paid value and payment date.

Instructions

Simula a confirmação de recebimento de uma cobrança (útil para testes em Sandbox)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoValor pago (opcional)
payment_idYesIdentificador único da cobrança no Asaas
paymentDateNoData do recebimento (formato YYYY-MM-DD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does contribute real behavioral context by flagging the sandbox/test scope, but it omits whether this mutates real payment state, whether it is reversible or idempotent, and any permission requirements — significant gaps for a state-changing tool.

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?

A single, front-loaded sentence with no filler. The purpose and the practical context arrive together, and nothing redundant is included.

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 3-parameter mutation tool with no annotations and no output schema, the description is minimally adequate: it conveys purpose and sandbox scope but leaves side effects, reversibility, and return behavior unaddressed.

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

Parameters3/5

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

Schema description coverage is 100%, so each of the three parameters (payment_id, value, paymentDate) is already documented in the schema. The description adds no syntax, format, or defaulting detail beyond that, which is the expected baseline when the schema does the heavy lifting.

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?

The description states a specific verb and resource: simulating receipt confirmation of a charge (cobrança). An agent can tell it apart from read-only siblings like get_payment, but it never contrasts itself with the nearby write siblings (create_payment, refund_payment), so differentiation is left to inference.

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 parenthetical "útil para testes em Sandbox" gives an implied usage context, which is genuinely useful. However, it stops short of when-not guidance: whether this should never be called in production, and how it relates to refund_payment or create_payment, is not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.