Appium Test Failure Root Cause Analyzer

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

No annotations are provided, so the description primarily informs behavior. It describes what the tool does (analyze, classify, assess, recommend) but does not disclose side effects, limitations, or whether it modifies logs or requires external dependencies. It is 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that conveys all key aspects without wasted words. It is appropriately sized and front-loaded with the primary action.

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 tool with one simple input and no output schema, the description lists the conceptual outputs (root cause, severity, flakiness risk, fix recommendations) but does not specify the format or structure of the response. This may require the agent to infer the output nature. Adequate but could be more precise.

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?

The schema describes the single parameter 'failureLogs' with sufficient detail. The tool description adds no additional depth about the parameter beyond what the schema already provides. With 100% schema coverage, baseline is 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?

The description clearly states the tool's purpose: performing deep failure analysis of Appium test logs to determine root cause, classify severity, assess flakiness risk, and provide fix recommendations. It is specific with verb ('analyze') and resource ('Appium test logs'), and the outcomes distinguish it from unrelated sibling tools.

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?

The description implies usage for analyzing Appium test failures but does not explicitly state when to use versus alternatives or provide exclusions. Sibling tools are unrelated, so confusion is unlikely, but explicit guidance is missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.