get_logbook_entries

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

Annotations already indicate readOnlyHint, idempotentHint, and openWorldHint, so the description adds value by stating the return structure ('grouped by day with summaries optimized for analysis'). No contradictions with annotations.

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, no unnecessary words. The content is front-loaded with the core purpose, and the OR condition is clearly structured.

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 no output schema, the description provides a reasonable summary of the return structure (grouped by day). It adequately covers the date filtering options and optional category filter. Could mention more about pagination or limits, but overall sufficient.

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%, but the description adds meaning by explaining the exclusive relationship between dateRange, date, and startDate+endDate, and that dateRange uses predefined strings. It also hints at the output format, going beyond the schema.

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 verb 'Retrieve' and the resource 'logbook entries', listing specific data types included. It distinguishes from sibling tools like get_glucose_statistics and get_insulin_analysis, which focus on analysis rather than raw entries.

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 explains the three mutually exclusive date filtering options (predefined range, specific date, custom range) with clear OR conditions. However, it does not explicitly state when to use this tool versus siblings (e.g., for raw data vs. analysis) or provide when-not-to-use guidance.

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