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parseen254

daraja-mcp

by parseen254

get_callback

Retrieve the full callback payload for any correlation ID—CheckoutRequestID, ConversationID, or Ratiba—to inspect transaction details and debug M-Pesa integrations.

Instructions

Fetch the full callback payload for a correlation id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
correlationIdYesCheckoutRequestID, ConversationID, or the Ratiba correlationId.
Behavior3/5

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

With no annotations provided, the description carries the burden of conveying behavioral traits. The verb 'Fetch' implies a read-only operation, and 'full callback payload' suggests complete data retrieval, but no details are given about error behavior, prerequisites, or response characteristics. It adds some context but falls short of full transparency.

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, concise sentence that front-loads the core action and resource. Every word earns its place, with no redundancy or filler.

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 simple single-parameter retrieval tool with no output schema and no annotations, the description is largely sufficient. It indicates what the tool does and the return type ('full callback payload'). A tiny gap exists in not mentioning what happens if the correlation id is invalid or not found, but given the low complexity, this is acceptable.

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?

The input schema already provides a 100% descriptive coverage for the parameter, including specific examples (CheckoutRequestID, ConversationID, or Ratiba correlationId). The tool description adds no new meaning beyond what the schema states, so the baseline of 3 is appropriate.

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?

The description clearly states a specific action ('Fetch') and resource ('full callback payload') for a correlation id, making its intent unambiguous. It implicitly differentiates from sibling tools like list_callbacks by focusing on retrieving a single payload rather than listing callbacks.

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?

The description provides no guidance on when to use this tool over alternatives or when not to use it. It simply states the action without any contextual cues, exclusions, or references to sibling tools.

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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