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

With no annotations, the description does disclose the method (central bump-and-revalue finite differencing), that it compares against another method's numbers, that a tolerance determines agreement, and that timing is captured. It does not say whether anything is persisted, how expensive the run is, or where the reference sensitivities come from.

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?

One tight sentence, front-loaded with the operative method and no filler. The trailing clause on reported gaps/tolerance/timing overlaps with the output schema, so it is not maximally efficient.

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 tool with no annotations and 0% schema coverage, the definition should cover the reference source, tolerance behavior, and the inputs argument. Instead it spends its second half restating return values that the output schema already provides, leaving the parameter and prerequisite gaps unfilled.

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 0% for two parameters (model and inputs), and the description does not explain either. 'The same scenarios' loosely hints that inputs carries scenario data, but the model argument, the accepted inputs shape, and the null default are left entirely undocumented.

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 action (recompute sensitivities by central bump-and-revalue) and its purpose (compare against an existing result within tolerance), which distinguishes it from the pricing/run siblings as a validation tool. It never explicitly states what the baseline being checked against is, so the resource is clear only by inference.

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?

Usage is only implied by 'on the same scenarios', which suggests it must run after sensitivities already exist on those scenarios. There is no explicit when-to-use, when-not-to-use, prerequisite, or named alternative (e.g. versus run_model_function).

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