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ohneben

ohneben's Wafeq MCP

wafeq_payment_requests_retrieve

Read-onlyIdempotent

Retrieve a specific payment request by ID from Wafeq. Use this read-only endpoint to get full details of a single payment request for verification or reference.

Instructions

๐ŸŸข READ-ONLY ยท Payment Requests ยท GET /payment_requests/{id}/

Retrieve payment request

Endpoint for retrieving a single payment request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered and the description does not contradict it. The description adds only minor behavioral context (the GET method and path template). It doesn't disclose behavior for nonexistent IDs, authentication requirements, or rate limits, but with strong annotations the bar is lower and no contradiction exists.

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?

The description is short and front-loaded with the READ-ONLY badge and endpoint, which is good. But 'Retrieve payment request' and 'Endpoint for retrieving a single payment request' restate nearly the same idea, and the former duplicates the annotation title. One line is redundant and could be cut without losing information.

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 simple one-parameter, read-only tool with strong annotations, the description is mostly adequate for invocation. The notable gap is that no output schema exists and the description never hints at what the response contains (a full payment request object), leaving the agent without a return-shape expectation or any error-case awareness.

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 0%, so the description must compensate for the bare schema. It partially does: the endpoint template /payment_requests/{id}/ clarifies that the required 'id' is the path-level resource identifier. However, it doesn't explain the id's expected format, how to obtain a valid id (e.g., from a list call), or behavior for an invalid/unknown id.

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 (Retrieve), resource (payment request), and singular scope ('a single payment request'), reinforced by the endpoint template GET /payment_requests/{id}/. The word 'single' and the {id} path implicitly distinguish it from wafeq_payment_requests_list and the create/update/destroy siblings, though it never explicitly names or contrasts them, which keeps it just below a 5.

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?

There is no guidance on when to use this tool versus alternatives: it doesn't say to use the list endpoint for multiple payment requests, to use this after finding an id in a list, or to use update/destroy for mutations. The description is purely declarative labeling with no when/when-not context, so an agent must infer all usage decisions.

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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