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

Crucial behavioral information is provided, such as that the tool 'makes no request to Cal.com and does not create or reserve a booking.' This manages agent expectations regarding the actual interaction with the external service and defines the link as local data preparation rather than an API call.

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 definition is perfectly sized, clear, and structured logically: when to use it, how it works, and what it definitely doesn't do.

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?

Given the 100% schema coverage and the annotations, the description provides all necessary contextual boundaries (local vs. live) needed for the agent to confidently select and invoke the tool.

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?

While the schema description is already excellent, the text reinforces that the parameters (name, email, note) are used to pre-fill a booking form and doesn't imply a backend reservation, adding practical context to the schema fields.

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 provides a specific function: building a local booking link for Pulore's Cal.com page. This is highly specific and distinct from siblings like project scoping or case study finding.

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 provides a crystal clear trigger: 'Use this only when someone asks to talk to Pulore or book a call with them.' This defines the boundary perfectly.

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