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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds two useful behavioral facts beyond that: the return values (给药量 and 体积) and that the result comes from a deterministic algorithm engine rather than model generation. It does not state output units, rounding, or species/route assumptions, which matter for a dosing calculation.

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 compact clauses: topic label, usage trigger, return values and execution note. Well front-loaded with no filler, though the bracketed label largely repeats the annotated title.

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 two-required-parameter pure calculator with no output schema, the description does the important remaining work by stating what is returned (dose amount and volume). Nothing critical is missing for correct invocation, though output units and formula assumptions would have made it complete.

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%, with both parameters (dose_mg_per_kg and animal_weight_g) documented including units, so the schema carries the parameter burden. The description only restates that weight drives the computation and adds no unit-conversion or range semantics beyond the schema.

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 verb+resource: computing dosing volume/dose from body weight ('按体重算给药体积/剂量'). An agent can tell it apart from most siblings, though the closely related act_dose_convert_pharm is never mentioned or contrasted.

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?

A trigger scenario is implied ('用户要按体重算给药体积/剂量' = when the user wants to compute dose volume by body weight), which is sufficient to route most requests. However there is no explicit when-not guidance and no routing away from the near-duplicate act_dose_convert_pharm sibling.

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