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get_manual_test_case

Retrieve detailed manual test case information including steps, preconditions, and metadata for execution or review in TestDino projects.

Instructions

Retrieve detailed information of a single manual test case, including steps, custom fields, preconditions, and all metadata. Use this to get comprehensive details about a specific test case for execution or review.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject ID (Required). The TestDino project identifier.
caseIdYesTest case ID (Required). Can be internal _id or human-readable ID like 'TC-123'.
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It indicates this is a read operation ('retrieve') and specifies the scope of data returned, but does not disclose behavioral traits like error handling, authentication needs, rate limits, or response format. The description adds some context but lacks comprehensive behavioral details.

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 appropriately sized with two sentences that are front-loaded and efficient. The first sentence states the purpose and scope, while the second provides usage context, with no wasted words or redundancy.

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?

Given the tool's moderate complexity (2 required parameters, no output schema), the description is adequate but has gaps. It covers purpose and usage well, but without annotations or output schema, it lacks details on behavioral aspects and return values, making it minimally complete for a read operation.

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%, so the schema already documents both parameters (projectId and caseId) with their types and requirements. The description does not add any parameter-specific semantics beyond what the schema provides, such as format examples or constraints, meeting the baseline for high schema coverage.

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 ('retrieve') and resource ('detailed information of a single manual test case'), specifying what data is included (steps, custom fields, preconditions, metadata). It distinguishes from siblings like 'list_manual_test_cases' by focusing on a single test case with comprehensive details rather than listing multiple.

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 provides clear context on when to use this tool ('for execution or review of a specific test case'). It implies usage for detailed retrieval rather than listing, but does not explicitly state when not to use it or name alternatives like 'list_manual_test_cases' for broader queries.

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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