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Momence: Refund payment

momence_refund_payment

Momence: Refund a payment as money or as Momence credits; the original purchase stays on record. Refunds one payment from the customer profile, as money back to the card or as Momence credits. The original purchase stays on record with a separate refund entry. Needs a staff account allowed to refund. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refund_toYesmoney or credits.
payment_idYesPayment ID from list_customer_payments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations declare non-read-only, non-destructive, open-world. The description adds real behavioral value beyond that: the original purchase stays on record with a separate refund entry, a staff account with refund rights is required, per-call confirmation is on by default and can be disabled, and it affects other people.

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

Conciseness3/5

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

Front-loads the core action well, but the first two sentences restate the same money-or-credits / original-purchase-stays-on-record facts, which is redundant. The auth and confirmation notes are useful but the repetition costs efficiency.

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

Completeness4/5

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

For a two-parameter mutation tool with no output schema but full annotation coverage, the description covers the key agent needs: prerequisites, confirmation behavior, and side effects. It is essentially complete, missing only return-value expectations.

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 coverage is 100% and the refund_to enum is already documented in the schema, so the description's mention of money vs credits adds little. It does note that payment_id is sourced from list_customer_payments, which is a useful pointer but consistent with the schema description.

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

Purpose5/5

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

States a specific verb (refund) and resource (payment) with the two refund modes (money or credits) and the effect on the original purchase. An agent can distinguish this from momence_list_customer_payments and other Momence siblings without opening a schema.

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

Usage Guidelines4/5

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

Gives clear conditions: it refunds one payment from a customer profile, requires a staff account allowed to refund, and recommends confirming with the user before each call because it reaches other people. It does not name an explicit alternative refund path, so it falls short of a 5.

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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