solve_challenge

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

Annotations only include destructiveHint: false. The description adds behavioral context: it clicks a checkbox, polls for clearance, and explains the response flags (challengeObserved, interactionPerformed, clearanceVerified). This adds value beyond the annotations.

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 two sentences, front-loading the main action. It is concise but loses some points for including a somewhat lengthy explanation of the response fields in the same sentence.

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 complex, with no output schema. The description explains the response fields (challengeObserved, interactionPerformed, clearanceVerified) but does not give a complete picture of the return structure, edge cases (e.g., timeout), or state changes. Some gaps remain.

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?

With 0% schema description coverage, the description must compensate by explaining the parameters 'maxClicks' and 'timeoutMs'. It does not mention them at all, leaving their semantics entirely to the schema.

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: using human-like coordinate clicks on a standard checkbox inside a cross-origin challenge frame and polling for clearance. It specifies the action (solve) and resource (challenge), and distinguishes itself from generic click tools and the sibling 'find_challenge'.

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 explains that the tool does not require a vision model and clarifies the meaning of the 'ok' field in the response. However, it does not explicitly state when not to use this tool versus alternatives like 'find_challenge', leaving some ambiguity.

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