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indratjhai

xendit-mcp

by indratjhai

xendit_get_refund

Retrieve refund details using a Xendit refund ID to track and verify payment reversals within the Xendit payment platform.

Instructions

Get refund details by Xendit refund ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refundIdYesXendit refund ID (rfd_...)
Behavior2/5

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 states it 'Get refund details' which implies a read-only operation, but doesn't disclose behavioral traits like authentication needs, rate limits, error handling, or what 'details' include (e.g., status, amount). This is a significant gap for a tool with no annotation coverage.

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?

The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.

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

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'refund details' include (e.g., fields like status or amount), potential errors, or usage context. For a tool with zero structured coverage beyond input schema, this leaves critical gaps for an AI agent.

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%, with the parameter 'refundId' fully documented in the schema as 'Xendit refund ID (rfd_...)'. The description adds no additional meaning beyond this, such as format examples or sourcing instructions, so it meets the baseline of 3 where 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 clearly states the verb 'Get' and the resource 'refund details', specifying it retrieves information by 'Xendit refund ID'. It distinguishes from siblings like 'xendit_list_refunds' by focusing on a single refund rather than listing multiple, though it doesn't explicitly mention this distinction.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a refund ID), exclusions, or compare it to sibling tools like 'xendit_list_refunds' for bulk retrieval or other get tools for different resources.

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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