analyze_test_execution_video

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it mentions performance characteristics ('quick_text_only (no frames, ~10-20s)'), processing details ('parallel frame extraction'), and additional capabilities ('similar failures search, historical trends analysis'). However, it doesn't mention authentication requirements, rate limits, or error handling scenarios.

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 appropriately sized and front-loaded with the core purpose in the first sentence. The feature list in the second sentence is somewhat dense but relevant. Every sentence earns its place by conveying important capabilities, though the exclamation point and 'NEW' tag could be considered slightly promotional rather than purely informative.

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?

Given the tool's complexity (16 parameters, no output schema, no annotations), the description does a good job covering the tool's scope and capabilities. It explains what the tool does, mentions analysis modes, and highlights key features. However, for such a complex tool, it could benefit from more guidance on output format or result interpretation since there's no output schema provided.

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 description coverage is 100%, so the baseline is 3. The description doesn't add meaningful parameter semantics beyond what's already in the schema - it mentions analysis depth modes and parallel frame extraction but doesn't explain parameter interactions or provide usage examples. The schema already thoroughly documents all 16 parameters with descriptions and defaults.

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: 'Download and analyze test execution video with Claude Vision - extracts frames, compares with test case, and predicts if failure is bug or test issue.' It uses specific verbs (download, analyze, extracts, compares, predicts) and distinguishes from sibling tools like analyze_screenshot or analyze_test_failure by focusing specifically on video analysis.

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 context through its feature list ('NEW: Analysis depth modes...') but doesn't explicitly state when to use this tool versus alternatives like analyze_screenshot or analyze_test_failure. It suggests video analysis is appropriate but doesn't provide guidance on prerequisites or when other tools might be better suited.

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