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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world behavior, so the safety profile is covered. The description adds the modeled outputs (volume, revenue, gross profit) in the absence of an output schema, but discloses no modeling assumptions, validity range, or sensitivity caveats beyond what the schema's elasticity field says.

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 first sentence is well front-loaded and waste-free, but the second sentence is a promotional link to an external page rather than operational guidance, so not every sentence earns its place in a tool definition.

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 five required params fully documented and annotations covering the safety profile, the main gap is behavioural: no output schema exists, and while the description names the three modeled outputs, it says nothing about the linear/constant-elasticity assumptions or the limits of the model, which matter for a simulation tool.

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 all five parameters (including the sign convention for priceChangePct and the usually-negative elasticity) are already documented in the schema. The description adds no syntax, units, or bound details beyond that, which is the expected baseline when the schema does the heavy lifting.

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?

States a specific verb (Model) and resource (price change impact on volume, revenue, gross profit) with the causal input named (price elasticity of demand). It is clear enough that an agent can tell it apart from siblings like gross_margin_impact_calculator or roas_calculator, though it never explicitly names a contrast.

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?

There is no when-to-use guidance, no prerequisites, and no mention of an alternative tool. The description only says what the model computes, leaving the agent to infer that it applies whenever elasticity-based pricing scenarios are relevant.

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