stop_test_run
Stop a running test run. Use it when a run was started against the wrong project, or is no longer needed - every test case it would still execute is billed.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| testRunId | Yes | The run to stop |
Stop a running test run. Use it when a run was started against the wrong project, or is no longer needed - every test case it would still execute is billed.
| Name | Required | Description | Default |
|---|---|---|---|
| testRunId | Yes | The run to stop |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does add real value by disclosing the billing consequence of leaving a run active. However, it omits whether the stop is immediate or graceful, whether already-completed test cases and their results are retained, and what permissions are required for a mutation of this kind.
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?
Two tight sentences: the action first, then the trigger conditions and the cost rationale. Every clause earns its place with no filler.
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 one-parameter, non-destructive-to-data mutation with a fully documented schema and no output schema, the description covers purpose, trigger, and cost motive adequately. The remaining gap is lifecycle detail — what happens to partial results after stopping — which is a minor omission at this complexity level.
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 coverage is 100% with a single required parameter already documented as 'The run to stop'. The description adds no syntax, format, or sourcing guidance beyond that, so the schema does all the work — baseline 3.
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?
States a specific verb+resource pair ('Stop a running test run') that an agent can immediately distinguish from the sibling start_test_run and get_test_run. No ambiguity about what the tool does.
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?
Gives explicit when-to-use conditions ('started against the wrong project, or is no longer needed'), which is more than most definitions offer. It stops short of naming when-not or pointing at an alternative recovery path, but the selection context is clear.
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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