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

With no annotations, the description carries the full burden and does meaningful work: it discloses the asynchronous flow (the shop answers by phone or text), the return shape (a reference and status 'requested'), and that the shop confirms estimates directly rather than returning a price. It omits auth/permission requirements and error conditions.

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?

Three short sentences, front-loaded with the purpose, and each one adds information: what it does, how the shop responds, and how confirmation arrives. 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?

With no output schema, the description compensates by describing the returned reference and status, and it explains the asynchronous nature of the exchange. Minor gaps remain around failure modes and what triggers the shop's response timing.

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 description coverage is 100% and each parameter (phone format, vehicle year/make/model, symptoms, contact_name) is documented in the schema itself. The description adds no syntax or constraint detail beyond that, so the baseline 3 applies.

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 and resource ('Ask the shop for a quote', 'Creates a request') and describes the outcome. It doesn't explicitly name the sibling request_booking or contrast itself with it, though the schema's 'Optional for a quote, required for a booking' note does the differentiation work.

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?

Usage is implied rather than stated: an agent can infer this is for price estimates rather than scheduling, but there is no explicit when-to-use, no exclusions, and no named alternative among siblings (request_booking, get_availability, list_services).

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