Dispatch autonomous testing agent

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

Discloses key behaviors: asynchronous execution (1-3 minutes), real browser usage, return of tracking info not final results, and later delivery via chat notifications. Since no annotations exist, the description fully covers transparency needs.

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 concise (4 sentences) and front-loaded with purpose. Every sentence adds value, though breaking into bullet points could enhance structure slightly. Still efficient for the information provided.

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 the async nature and lack of output schema, the description covers prerequisites, result delivery mechanism, and status-checking alternatives. Minor omissions like error handling or exact format of chat notifications keep it from a 5.

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% and already describes parameters. The description adds the prerequisite that test cases must exist in the suite, but does not add significant new semantic meaning beyond the schema, so baseline 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 clearly states the tool dispatches an autonomous AI agent to execute specific test cases, opening a browser and following steps. It distinguishes from siblings like wopee_dispatch_analysis and wopee_generate_artifact by specifying the action and prerequisite.

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 when-to-use context: run only after test cases are generated via wopee_generate_artifact. It warns against interpreting immediate response as pass/fail and directs to sibling tools for later status checking, giving clear usage boundaries.

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