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

Annotations already set readOnlyHint=true and destructiveHint=false; the description reinforces this with 'This tool creates nothing and charges nothing.' It adds significant behavioral context beyond annotations: link generation, user self-submission, paid/free status for each service, and a mandatory user-facing disclosure. This fully discloses the tool's side effects and operational traits.

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 a single dense paragraph with no filler. It front-loads the core purpose, then logically expands into service-specific variations and constraints. Every sentence contributes essential information, and the structure makes it easy to scan for key warnings.

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 tool with 8 parameters, no output schema, and two enums, the description is remarkably complete. It covers the primary result (link), user interaction, cost implications, and what the tool does not do. The absence of an output schema is mitigated by stating the return type upfront. An agent calling this tool has all necessary operational context.

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%, so the baseline is 3. The description adds meaningful semantics to the 'service' parameter by explaining the real-world consequences of each enum value (payment, link behavior, fee quotation). This goes beyond the schema's plain enum labels and helps the agent choose the correct value and set user expectations.

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 uses a specific verb and resource: 'Prepares a request to GraceRoad and returns a link for the user.' It clearly distinguishes this from siblings by focusing on request preparation and link generation, while also enumerating service types. An agent can tell this apart from graceroad_corridors and graceroad_presentation without ambiguity.

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 provides clear usage context, explaining what happens for each service type ('transport', 'carburant', 'sourcing') and when payment conditions apply. It doesn't explicitly name sibling alternatives or state 'use this when...', but the detailed service-specific behavior gives strong implied guidance. The warning to tell the user the amount before giving the link is a concrete usage directive.

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