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 the return payload ('体积与生长曲线'), but never states the volume formula used (e.g. L×W²/2) or unit expectations, which are the behaviorally decisive facts for a calculation tool.

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 pipe-delimited layout front-loads the resource name and the use condition, and every field is short. The alias list is long but serves a real retrieval purpose for Chinese and English query matching.

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?

With no output schema, the 'RETURNS: 体积与生长曲线' line does carry the return contract, and all four parameters are documented. However, for a numeric calculation tool it omits the formula and units, and never states what happens if days, lengths and widths differ in length.

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 maps 'length/width caliper' to the lengths/widths arrays and 'over days' to the days array, but adds no unit conventions (mm vs cm) or constraints such as equal array lengths, which is where the real ambiguity lies.

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 concrete computation (tumour volume) plus a second output (growth curve over days), and the USE WHEN clause ties it to caliper length/width inputs. It is clearly distinguishable from tools like animal_dose_volume or calibration_curve, though it does not explicitly contrast with the closest sibling, tumor_growth_inhibition.

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 'USE WHEN' line gives a concrete input-based trigger: caliper length/width measurements plus a day series. There is no when-not guidance and no named alternative for the inhibited-growth use case, but the context for selection is clear.

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