take_screenshot

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

No annotations are provided, so the description must fully convey behavioral traits. It mentions returning a base64 PNG and being full-page, but lacks details on page load behavior, viewport, or limitations like dynamic content. With no annotation coverage, this leaves important gaps.

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 three sentences front-loaded with the action and output format. No wasted words, well-structured for quick understanding.

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 no output schema and no annotations, the description should provide more context about page load behavior, viewport, and error handling. The examples help but are insufficient for a full understanding of tool behavior.

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 covers 67% of parameters with descriptions. The tool description adds no additional meaning beyond what the schema provides for 'url' and 'wait_for'. The 'timeout' parameter lacks a description in schema, and the description does not clarify it. Baseline is adequate but not improved.

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 takes a full-page screenshot of a URL and returns it as a base64-encoded PNG. It distinguishes from sibling tools that likely return text data.

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?

Provides explicit use cases: visual verification, capturing charts, archiving appearances. Does not explicitly state when not to use or mention alternatives, but context from sibling names suggests text extraction tools for other needs.

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