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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds content details but no additional behavioral context like rate limits, auth, or errors. It doesn't contradict annotations, so a neutral 3 is appropriate.

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?

One clear sentence stating the purpose and listing key output components; no verbose or redundant information. Front-loaded with the 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?

The tool is simple with one parameter, has output schema, and the description provides a useful overview of the report contents (render type, token counts, ratio). It's sufficient for this level of complexity. Could mention when to use vs fetch, but not critical for completeness.

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 coverage is 100% for the single parameter 'url' with description 'URL to analyze.' The description says

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 returns a token-reduction analysis report for a URL, listing the specific outputs (render type, token counts, ratio, anchors). This distinguishes it from the sibling tool dompruner_fetch, which likely fetches raw content, making the purpose explicit and differentiating.

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 the tool is for analysis rather than fetching, but it doesn't explicitly state when to use it over dompruner_fetch or any exclusions. It's not misleading, but the guidance is only implied, not explicit.

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