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RitwijParmar

O2C Deployment Workbench MCP Server

by RitwijParmar

investigate_payment

Retrieve matching evidence and exception routing for a single synthetic payment to support order-to-cash deployment investigations.

Instructions

Return matching evidence and exception routing for one synthetic payment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It says the tool returns evidence and exception routing, but it does not disclose whether this is a read-only operation, whether it requires special permissions, or what side effects (if any) exist. The presence of an output schema mitigates some ambiguity, but the description alone is thin.

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

Conciseness4/5

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

The description is a single, front-loaded sentence with no wasted words. It is appropriately sized for a simple one-parameter tool, though it could have added a brief usage note without becoming verbose.

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?

The tool has one parameter and an output schema, so the description does not need to explain return values. However, it lacks any context about when to use this tool, what 'exception routing' means, or how it relates to the sibling tools. For a tool with no annotations, this is a moderate gap.

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. It names the single parameter implicitly ('one synthetic payment' maps to payment_id) but does not explain the expected format, constraints, or how the parameter affects the result. With only one parameter, the gap is small, but the description adds minimal semantic value beyond the schema.

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 ('Return') and resource ('matching evidence and exception routing for one synthetic payment'), which clearly identifies the tool's function. It does not explicitly distinguish it from siblings, but the resource is specific enough that an agent can infer its purpose.

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 like get_implementation_summary or run_controlled_benchmark. The description implies it is for investigating a single synthetic payment, but it does not state exclusions or conditions that would route an agent to a sibling.

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