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coval-ai

Coval MCP Server

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by coval-ai

create_test_set

Organize test cases by creating a test set with a name and optional parameters, enabling structured evaluation scenarios.

Instructions

Create a test set to organize test cases. After creating, use create_test_case to add scenarios.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
display_nameYesHuman-readable name for the test set
slugNoURL-friendly identifier (auto-generated if not provided)
descriptionNoDescription of the test set
test_set_typeNoType of test set: DEFAULT, SCENARIO, TRANSCRIPT, WORKFLOW
test_set_metadataNoAdditional configuration metadata
parametersNoTest case parameterization (e.g., {"name": ["Alice", "Bob"]})
Behavior3/5

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

No annotations provided, so the description carries full burden. It explains the creation behavior and the next step, but lacks details on side effects or permissions. Adequate but not thorough.

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?

Two concise sentences, front-loaded with the purpose, followed by a useful next-step instruction. No extraneous information.

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 tool with 6 parameters and no output schema, the description covers the core purpose and usage flow. It could benefit from more parameter usage context, but the schema compensates.

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 parameters are well-documented in the schema. The description does not add additional meaning beyond the schema, meeting the baseline.

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 tool's purpose: creating a test set to organize test cases. It also distinguishes from sibling tools like 'create_test_case' by specifying that test cases are added separately.

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 a clear context for use (to organize test cases) and a follow-up action (use create_test_case). It does not explicitly state when not to use it, but the context is sufficient.

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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