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

With no annotations, the description carries the full behavioral burden and discloses key traits: nothing is charged, the request is queued, and email enables notification when the service becomes available. It does not cover authorization requirements, error behavior, or how to retrieve the resulting request status.

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 first sentence front-loads the primary purpose and the important no-charge/queued behavior. The Args block then maps each parameter to practical meaning without redundant or filler text.

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?

For a six-parameter mutation-style request tool with no annotations or output schema, the description gives sufficient invocation context and all parameter meanings. It could be more complete by mentioning what the queued request returns or by pointing to `get_request_status` for follow-up.

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 0%, so the description must document all parameters, and it does. It explains the enum meaning of `kind`, the source of `service_id`, the purpose of `description`, the unit and meaning of `max_price_credits`, and the roles of `agent_name` and `email`.

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 states a specific action and resource: hire a service or request a quote from its provider. It clearly distinguishes the two request modes via the `kind` parameter, though it does not explicitly contrast itself with sibling tools such as `request_data`.

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?

It explains when to use 'order' versus 'quote' and points to `search_services` as the source of `service_id`, giving clear operational context. It stops short of naming exclusions or explicitly directing agents to `get_request_status` afterward.

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