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

Since no annotations are provided, the description must carry the behavioral burden. It adds valuable context by explaining the consequence of the conversion (worker quotes or books visit), which is a key behavioral outcome of this state change.

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 single sentence is dense with information and highly effective. It front-loads the primary action and the outcome without unnecessary filler, making it efficient to parse.

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 that there are no annotations and the tool performs a critical business process (request to job conversion), the description is reasonably complete. It defines the necessary inputs for the conversion to happen and the business purpose behind the action.

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 coverage, the description carries a heavy load. It successfully cues the agent that it needs a 'request_id', 'summary', 'customer_id', and location data to complete the conversion, adequately compensating for the lack of detailed structural information in 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 defines the action ('Turn a request into a job') and the context (at its property or address). It effectively describes the outcome, linking the job creation to the subsequent workflow of quoting or booking a visit.

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 correct usage flow by linking it to an existing request. However, it does not explicitly state when this tool should be used versus other potential tools for starting a job, offering no exclusionary guidance.

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