analyze_screenshot

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions OCR and visual analysis, and that it 'returns image to Claude Vision for detailed analysis,' which gives some insight into processing behavior. However, it fails to disclose critical traits: whether this is a read-only or mutating operation, performance implications (e.g., 'slower' is noted in schema but not description), authentication needs, rate limits, or error handling. For a tool with 6 parameters and no annotations, this is a significant gap.

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: a single sentence efficiently conveys the core functionality (analyze screenshot with OCR/visual analysis) and key behavioral detail (returns to Claude Vision). Every word earns its place with no redundancy or fluff, making it easy to scan and understand quickly.

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 (6 parameters, no output schema, no annotations), the description is moderately complete. It covers the purpose and high-level behavior but lacks details on when to use it vs. siblings, full behavioral traits, and output expectations. Without annotations or output schema, the description should do more to compensate, but it provides a basic foundation that's adequate for simple use cases.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema: it implies the tool uses OCR and visual analysis, which relates to 'enableOCR' and 'analysisType' parameters, but doesn't provide additional syntax, format details, or usage examples. With high schema coverage, the baseline is 3, and the description doesn't significantly enhance parameter understanding.

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: 'Analyze test screenshot with OCR and visual analysis' specifies the verb (analyze) and resource (test screenshot) with the methods used (OCR and visual analysis). It distinguishes from sibling tools like 'download_test_screenshot' (which only downloads) and 'analyze_test_execution_video' (which analyzes videos). However, it doesn't explicitly mention what makes it unique from other analysis tools in the list.

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 provides minimal guidance: it mentions the tool returns 'image to Claude Vision for detailed analysis,' which implies when detailed visual analysis is needed. However, it lacks explicit when-to-use criteria, doesn't specify alternatives among siblings (e.g., when to use this vs. 'analyze_test_failure'), and offers no exclusions or prerequisites. This leaves usage context largely implied.

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