finance_forecast_sensitivity

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

No annotations exist, so the description must fully disclose behavior. It only mentions routing through a dispatcher and auth scope, but fails to state whether the tool is read-only, destructive, what side effects occur, or how results are returned. The existence of an output schema is not referenced.

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 sentences, no redundancy beyond the first sentence which tautologically repeats the tool name. Adequately concise but not logically front-loaded; the routing context is less important than the tool's purpose.

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 having an output schema, the description does not explain return values or behavior. With no annotations and sparse parameter docs, the description leaves critical gaps for a tool that likely performs a complex sensitivity analysis.

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?

The description adds marginal value over the schema: 'message' is described as free-text objective, 'inputs' as optional JSON. With 0% schema coverage, this clarifies some intent but remains vague about expected JSON structure or how the message is used.

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?

Description states 'Run the finance domain agent action finance_forecast_sensitivity' but does not explain what the tool does or what sensitivity analysis entails. It lacks a verb+resource that clearly distinguishes it from siblings like finance_forecasting or finance_forecast_interpretation.

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?

No guidance on when to use this tool versus alternatives such as finance_forecast_interpretation or finance_automl_forecast. The description provides no context for selection or exclusions.

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