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flaky_risk

Detect flaky test cases in Karate projects by finding test cases with mixed pass/fail history, helping identify tests at risk of flakiness.

Instructions

Preset query: test cases with mixed pass/fail history (flaky risk).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_nameYesName of the analyzed project.
limitNoMaximum number of test cases to return.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden for behavioral context. It only says 'preset query', omitting details like read-only nature, sorting, or pagination beyond the limit parameter.

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 one concise sentence of 11 words, front-loaded and efficient with no wasted content.

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 presence of an output schema and parameter schema, the description is minimally adequate. However, it lacks context on thresholds or time frame for 'flaky risk', which could improve completeness.

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 coverage is 100%; both parameters are described in the schema. The description adds no extra meaning beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it is a preset query for test cases with mixed pass/fail history (flaky risk). However, it does not differentiate from sibling tools like search_test_case or get_failure_history, which may also return similar data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description does not include when-not-to-use or mention any preconditions.

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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