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Space-C0wboy

ReliaQuest GreyMatter MCP Server

by Space-C0wboy

cancel_case

Cancel a case in ReliaQuest GreyMatter by case ID, providing close code and reason to document the cancellation.

Instructions

Cases · mutation cancelCase. Variables: input. Example variables: {"input":{"caseId":"","closeCode":"","reason":""}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesGraphQL: CancelCaseInput!
customer_slugNoOverride the x-reliaquest-customer (OpCo) header.
Behavior1/5

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, but it reveals no side effects, permissions, irreversibility, or success criteria. It only provides a template for input variables, leaving the actual behavior opaque.

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 extremely brief, which is concise, but it borders on under-specification. It includes a useful example, yet the core label ('Cases · mutation cancelCase') adds little substantive information.

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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information about the case lifecycle, required permissions, how cancellation differs from closing, or any consequences, making it insufficient for safe invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is high, the schema's 'input' description is opaque ('GraphQL: CancelCaseInput!'). The example variables clarify the expected structure (caseId, closeCode, reason), adding practical meaning beyond the schema's sparse parameter descriptions.

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

Purpose2/5

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

The description essentially restates the tool name ('mutation cancelCase') without explaining what canceling a case does. The example variables hint at inputs but do not define the operation's 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, prerequisites, or how it differs from sibling tools like close_case or update_case. Usage is only implied by the name 'cancelCase'.

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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