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

Annotations already indicate readOnly, idempotent, non-destructive. The description adds context about bulk execution via patient_ids and prescription_ids, and clarifies the flattened action is 'get'. This is sufficient beyond annotations, though no output schema is mentioned.

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 concise (three lines), front-loaded with critical scope differentiation, and each sentence adds unique value. No redundant or vague phrasing.

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?

Despite 8 parameters and no output schema, the description omits pagination parameters (skip, take), search, account scoping, and return value expectations. The bulk support detail is helpful, but the tool's overall invocation context is insufficiently covered.

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?

With 0% schema description coverage, the description should explain parameters. It only mentions patient_ids and prescription_ids for batched execution, leaving skip, take, search, account, patient_id, and prescription_id unexplained. Most parameters lack meaning beyond schema names.

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 it reads supplement/herbal medicine prescriptions, not meal plans. It explicitly distinguishes from dietbox_meal_plan and lists the specific actions (list, get, list_models).

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 advises using dietbox_meal_plan for food plans, differentiating from this tool. However, it does not clearly specify when to use this tool versus sibling tools like dietbox_prescription_list or dietbox_prescription_list_models, leading to potential confusion despite mentioning the actions.

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