timps_churn_predictor

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

No annotations are provided, so the description carries full responsibility for transparency. It mentions outputs (scores, forecast, segments, recommendations) but does not disclose how inputs are used, data requirements, side effects, or return format. There's no mention of whether the tool is read-only or what processing occurs.

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 description is a single, compact sentence that lists the main actions clearly. It is front-loaded with the primary task and avoids fluff. However, it could be split into bullet points for readability, but it remains sufficiently concise.

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?

The tool has no output schema, so the description must explain what is returned. It lists four outputs (scores, survival-curve, segments, save plays) but does not specify format, how results are delivered (report, JSON, etc.), or what data inputs are expected. Given the complexity and lack of annotations, this is inadequate for an agent to confidently invoke the 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 coverage is 100% as both parameters have descriptions, but they are generic ('Plain-English task or context' and 'Primary programming language'). The tool description does not add specific meaning to the 'request' parameter, such as expected structure or examples. Baseline is 3 for high coverage, and no added value beyond baseline.

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 clearly states the tool's function: score churn risk, build survival curves, segment at-risk cohorts, and recommend save plays. This is a specific verb+resource (accounts/users) that distinguishes it from sibling tools, which focus on other domains like testing, forecasting, or compliance.

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 description implies usage for churn analysis (through the name and explicit actions) but provides no explicit when-to-use or when-not-to-use guidance, nor does it name alternatives. It relies on the agent's inference from the tool name and siblings, which is minimal guidance.

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