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polar3130

cloud-support-mcp

by polar3130

search_case_classifications

Search valid case classifications for Google Cloud support cases using a filter expression. Retrieve matching categories to ensure correct classification when creating a support case.

Instructions

Search and retrieve valid case classifications for creating support cases

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFilter expression to search classifications (e.g., displayName:"*Compute Engine*")
pageSizeNoMaximum number of classifications to return (default: 50)
pageTokenNoToken for pagination
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. 'Search and retrieve' implies read-only, but the description does not explicitly state it is non-mutating, nor does it mention permissions, ordering, or filtering semantics. Minimal behavioral context is added.

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, front-loaded sentence with no filler. Every word contributes meaning, making it concise and well-structured.

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 search tool with three optional parameters and no output schema, the description gives sufficient context for its purpose. It does not detail response format or pagination behavior, but the schema covers pagination parameters. Adequate but not exhaustive.

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 covers 100% of parameters with descriptive text, including an example for 'query' and defaults for 'pageSize'. The description adds no parameter details beyond the schema, so baseline 3 applies.

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 the verb ('search and retrieve'), resource ('valid case classifications'), and purpose ('for creating support cases'). It distinguishes from sibling tools that manage support cases directly.

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

Usage Guidelines4/5

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

The phrase 'for creating support cases' gives clear context for when to use this tool, but it does not explicitly exclude alternatives or name sibling tools. There is no when-not guidance, so it earns a 4.

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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