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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds useful behavioral context about what the tool returns per date and the required provenance of the slug. There is no contradiction with the annotations.

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 information-dense sentence. It front-loads the resource and output contents, then gives the input routing instruction. Every part earns its place with no filler.

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 read-only listing tool with only two parameters, the description is complete enough: it names the input source, the optional date dimension, and the output fields. The schema provides the date pattern and default, so nothing critical is missing.

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 reinforces that slug should be a hospital slug from search_places with is_hospital=true, but it does not materially add to the schema's existing parameter documentation for date format or default.

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 names a specific resource (hospital departments on BinaSmart) and enumerates the returned data: consultation fee in ETB, doctors, hours, floor/room, and appointment slots left for a date. This clearly distinguishes it from sibling tools like get_hotel_rooms and search_places.

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 gives explicit usage context: the slug must come from search_places with is_hospital = true, and the date is the target for slot availability. It does not explicitly name alternatives or state when not to use the tool, but the intended trigger is clear from the description.

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