take_screenshot

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

With no annotations, the description carries the full burden and does a good job by disclosing the key behavioral output: the screenshot is returned as a base64 data URI that the editor LLM can see. It does not cover failure modes or authentication quirks, but the observable behavior most relevant to an agent is stated.

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?

Two sentences with no wasted words. The action is front-loaded, followed by the output format and use case. Every sentence earns its place.

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?

The tool is simple, all three parameters are documented by the schema, and the description supplies the missing output explanation (base64 data URI). An agent has enough information to invoke it correctly and interpret the result.

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 url, full_page, and authenticated are already fully documented. The description does not add parameter-specific detail or examples, so the baseline of 3 is appropriate.

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 uses a specific verb and resource: 'Navigate to a URL and take a screenshot.' It also names the output format (base64 data URI) and the intended use ('quick visual verification'), which clearly distinguishes it from analysis-oriented siblings like scan_page_elements and explore_page.

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 explicitly states when to use the tool: 'Use this for quick visual verification.' It provides clear context but does not name sibling alternatives or state when not to use it, so it misses the top-tier criterion of explicit exclusions.

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