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

Annotations already cover idempotency and non-destructiveness. The description adds valuable behavioral context: it takes no personal details, the scheduling form collects them under a privacy notice, and the URL should be shown as a link. This goes beyond the structured annotations without contradiction.

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 three concise sentences, front-loaded with the core purpose. Every sentence adds useful information: what it returns, when to use, and privacy/presentation guidance. There is no fluff or redundancy.

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 simple tool with no output schema, the description fully covers the return value (URL plus preparation tips), the trigger condition, privacy handling, and user presentation. It is complete for the agent to select and invoke the tool correctly.

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 100% with detailed descriptions for each optional parameter, including privacy warnings. The description reinforces the 'no personal details' rule but does not add substantial new information beyond what the schema already provides, so a baseline score of 3 is appropriate.

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 states the tool returns the URL for booking a free 15-minute discovery call, with a specific verb ('Returns') and resource ('booking link'). It is easily distinguished from siblings like get_engagement_terms or search_talent_pool by focusing on the appointment scheduling use case.

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 gives explicit guidance on when to call ('Call this once the user is interested'), providing clear context for usage. It does not explicitly mention alternatives or exclusion scenarios, but the sibling separation is obvious, so this is a solid 4.

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