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

Annotations provide readOnlyHint=true, and the description adds read-only behavioral context: the GET method, endpoint, optional filter semantics, pagination model, and JSON array return. It does not cover auth or rate limits, but those are less critical given the read-only annotation.

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 compact and front-loaded with the core action, then efficiently packs endpoint, filter capabilities, pagination, field selection, and return format into a few clauses. Every sentence and clause contributes useful information without filler 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 read-only listing tool with no output schema, the description covers the endpoint, filtering semantics, pagination, field selection, and return format. All parameters are individually documented in the schema, so nothing essential is missing for correct invocation.

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 input schema already documents all nine parameters thoroughly. The description summarizes which filters exist and notes that page is 0-based, but it adds little semantic value beyond what the schema provides, so the 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 states a specific verb ('List') and resource ('bookings/appointments on the YouCanBookMe account'), identifies the underlying GET endpoint, and describes the return value as a JSON array. This clearly distinguishes it from single-booking get_booking and mutation siblings like create_booking or cancel_booking.

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 establishes clear usage context: retrieve multiple bookings with optional filters, pagination, and field selection. It does not explicitly name alternatives or say when not to use this tool, but the list-vs-get distinction is strongly implied by the name and the statement that it returns a JSON array of bookings.

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