get_date_range_summary

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

No annotations are provided, so the description must carry the full burden. It states the tool aggregates data, implying a read-only operation, but does not explicitly disclose side effects, idempotency, or any constraints. Behavioral traits are insufficiently covered.

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 brief and front-loaded with the core purpose, followed by parameter details. Every sentence adds value, though the args list could be integrated into a more structured format.

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 purpose (aggregation and trends) and absence of an output schema, the description is vague. It does not specify what metrics, trends, or insights are returned, leaving the agent with an incomplete understanding of the tool's output.

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 input schema only provides types and requiredness. The description adds format constraints (YYYY-MM-DD) for both parameters, which is valuable and goes beyond the schema. This compensates for the 0% schema description coverage.

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 aggregates nutrition data over a date range, including trends and insights. This specific verb-resource combination distinguishes it from daily siblings like get_daily_summary or get_daily_macros.

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 use for date-range queries versus daily tools, but it does not explicitly state when to use or avoid this tool, nor does it mention alternatives. Guidance is only implicit via context with siblings.

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