camelot_churn_rate_forecaster

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

Annotations already provide idempotentHint=true and destructiveHint=false, so the bar is lower. The description adds 'Local browser processing,' which clarifies that computation happens in the browser and provides useful privacy context. It doesn't describe return shape, but an output schema exists. No contradiction with annotations was found.

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 core statement is short and front-loaded, but the prefix 'Churn Rate Forecaster:' is redundant with the tool name, and the canonical URL is not needed for invocation. There is also a minor formatting issue with double periods. Still, the description is compact and not padded.

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 simple calculator with full parameter documentation, an output schema, and safety annotations, the description is largely complete. It supplies the tool's purpose, local-processing privacy context, and a canonical reference URL. Any remaining gaps, such as explicitly stating that all inputs are optional, are covered by the schema.

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 ties parameters to high-level outputs like churn, net revenue retention, and revenue impacts, but does not add parameter-level details, units, or examples beyond what the schema already provides.

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 states a concrete action: 'Forecast customer churn, net revenue retention, and revenue impacts.' This names three specific outputs and differentiates the tool from sibling financial calculators like ltv_cac_calculator and subscription_manager. It repeats the tool name in the prefix, but the substantive content is clear and specific.

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 explicit guidance on when to use this tool versus alternatives, and no mention of exclusions or prerequisites. 'Local browser processing' is a procedural detail rather than usage guidance. The intended context is implied by the parameters and purpose, but not stated.

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