Skip to main content
Glama

search_suite

Find the suite ID by searching a suite name or prefix, returning all matches for disambiguation before creating or listing test cases.

Instructions

Resolve a suite name or prefix to a suite reference. Call this before create_test_case or list_test_cases to get the suite_id. Returns all matches so the caller can disambiguate if >1.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject UUID. Scopes the search (prefix is only unique per project).
name_or_prefixYesSuite name or prefix to search (case-insensitive, substring match).
Behavior3/5

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

No annotations are provided, so the description must disclose behavioral traits. It reveals that 'Returns all matches so the caller can disambiguate if >1', which is important. However, it does not describe the return structure, error behavior, or required permissions, leaving gaps for a tool with no output schema.

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?

Three concise sentences front-load the purpose, provide usage context, and note a key behavioral detail. Every sentence contributes value without redundancy.

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?

The description covers the tool's purpose and usage, and mentions that it returns matches and yields a suite_id. However, with no output schema and no annotations, it stops short of fully describing the return format and edge cases, making it slightly incomplete.

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 100%, with both project_id and name_or_prefix well described. The description adds no parameter-specific meaning beyond the schema, so the baseline of 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 specifies the verb 'Resolve' and resource 'suite name or prefix' with an output of 'suite reference'. It distinguishes itself from siblings by positioning as a prerequisite lookup for create_test_case and list_test_cases.

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 description explicitly instructs when to use the tool: 'Call this before create_test_case or list_test_cases to get the suite_id.' This is clear, though it does not mention when not to use it or direct alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JoinFullStackDev/tcm-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server