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

Annotations only declare openWorldHint and destructiveHint=false; the description adds real behavioral value beyond them by disclosing side effects (confirmation emails to both tutor and student) and the mandatory human-confirmation step before calling. It still does not say what happens on a failed or conflicting booking.

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?

Three sentences, zero filler, and the action plus data source are front-loaded before the operational constraint. Every sentence carries a distinct instruction.

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 mutation tool with no output schema, the description covers purpose, prerequisite source call, user-confirmation workflow, and side effects. It omits the result of a successful call and error handling for unavailable slots, which an agent would need for a booking flow.

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 only 43% across 7 parameters, so the description needs to compensate but largely does not. It references time/name/email only as a confirmation checkpoint, leaving slug, subject, and type semantics entirely to the schema — and slug and subject have no schema descriptions at all.

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?

States a specific verb and resource ('Book a student into one of a tutor's open slots') and scopes it against the sibling that produces the slot data (get_tutor_availability). An agent can distinguish this from get_tutor_availability or search_tutors without opening a schema.

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?

Explicitly ties invocation to output from get_tutor_availability and adds a required pre-call workflow: confirm time, name, and email with the user. It does not state any when-not conditions or failure-path alternatives (e.g., what to do if the slot is taken).

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