best_sleep_conditions

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

With no annotations, the description carries full burden. It discloses the tool 'looks at' various data types and 'identifies what predicts good vs poor sleep,' but it does not specify read-only behavior, output format, or potential side effects. It adds moderate context but leaves gaps.

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?

Two sentences: first states purpose, second adds detail. No superfluous content, but the structure could be improved by separating purpose from details more formally.

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?

Given the tool's complexity and lack of output schema, the description adequately explains inputs and analysis scope but omits output description. It is sufficient for basic use but lacks completeness for advanced scenarios.

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% (single parameter 'days' with description). The description adds no further meaning beyond the schema, meeting the baseline for well-documented parameters.

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 'Analyze what conditions are associated with your best sleep nights,' specifying a unique verb and resource. It distinguishes from sibling tools like 'analyze_sleep_quality' by focusing on correlation with external factors.

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 exploring predictors of sleep quality by listing analyzed factors (activity, workouts, etc.), but it lacks explicit guidance on when to use this tool versus alternatives like 'compare_conditions' or 'correlate_metrics,' and no exclusion criteria are provided.

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