get_test_case
Fetch a test case from TestRail by its ID, enabling integration with automated test generation.
Instructions
Fetch a single test case by its TestRail ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes |
Fetch a test case from TestRail by its ID, enabling integration with automated test generation.
Fetch a single test case by its TestRail ID.
| Name | Required | Description | Default |
|---|---|---|---|
| case_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must cover behavior. It only states the action without disclosing return format, error handling, or whether additional permissions are needed. For a read operation, basic safety is assumed but not stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with no redundancy, but front-loads purpose. Could be slightly more structured with parameter details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple fetch tool with one parameter, the description is minimally adequate. However, it lacks context on return value, error cases, and when to prefer this over sibling tools, given no output schema or annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description explains that case_id is the TestRail ID, adding meaning beyond the schema's type definition. However, it lacks examples or constraints like validation or required status (already in schema), so minimal extra value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it fetches a single test case by TestRail ID using the verb 'fetch' and resource 'test case', which is specific and distinguishes from sibling tools like create_test_case or search_test_cases.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives like search_test_cases or get_tests_in_run. It lacks explicit context or exclusions for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sergey-Bl/testrail-mcp'
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