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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description earns credit by disclosing the non-sending behavior and the exact return payload (address, subject, body, mailto link), which goes beyond what the annotations say.

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?

Two tight sentences with the purpose front-loaded and the behavioral clarification immediately after; every clause carries information and there is no filler.

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?

Since there is no output schema, the description usefully enumerates what is returned, and the read-only, non-sending nature is fully covered. The only real gap is that the partially documented parameters are not elaborated on.

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 only 50% and the description mentions no parameters at all, so it fails to compensate. Unclear how 'city' (defaulted to Lahore), 'contactName', and 'serviceSlug' shape the generated draft, leaving half the inputs undocumented in both places.

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?

States a specific verb (draft/prepare) and resource (quote request email to UltraTech Pakistan) and clearly separates itself from the sibling calculation and service-lookup tools. An agent can identify what this produces without opening the schema.

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 use case (preparing a quote inquiry for the user to send) and rules out one misuse ('does not send anything'), but it never states when to prefer this over siblings like get_service or search_services, nor what prerequisites are needed. Usage is inferable rather than stated.

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