analyze_url_json

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

The description provides useful context beyond the schema by stating default engine (axe), WCAG level (2.1_AA), and screen size (1280x1024). It also clearly notes the output is raw JSON. It does not mention side effects, auth, or rate limits, but for a non-destructive test tool this is acceptable.

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 a single sentence plus a compact bracket of settings. It is front-loaded with the core action and output format, with no redundant words. Every piece of information 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 has no output schema or annotations, so the description must cover return values. It mentions 'violations in raw JSON format' but does not describe the structure of those violations or failure modes. While the basics are covered, more detail would improve 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%, so parameters are well-documented. The description adds value by specifying the default engine and test context, which enriches the meaning of the engine parameter and the URL scope beyond the schema alone.

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 runs accessibility tests on a URL and returns violations in raw JSON format. This distinguishes it from siblings like analyze_url (likely human-readable), analyze_html (HTML input), and analyze_html_json (HTML input with JSON output).

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?

No explicit guidance on when to use this tool versus alternatives like analyze_url or analyze_html_json. The only hint is the name and the phrase 'raw JSON format', which implicitly suggests use when JSON output is desired, but no clear when-not or alternative references are given.

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