Log water

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

The explicit_user_intent requirement is disclosed, adding useful behavioral context beyond the annotations. However, with annotations all false and no output schema, the description does not address what happens on repeated logs, whether entries are appended or overwritten, or what the tool returns.

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 with no filler; the core operation is front-loaded and the safety/guardrail instruction follows directly. Every sentence contributes.

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?

Adequate for a simple logging action but incomplete: with no output schema and no safe-read annotations, an agent is left uninformed about return values, default date/timestamp behavior, and duplicate handling. Still, the required parameter and key intent flag are clear.

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 only 33%, and the description does not compensate: 'milliliters' and the explicit-user-intent condition merely paraphrase the existing amount_ml and explicit_user_intent schema descriptions. No meaning is added for date, notes, timestamp, or response_format.

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 specific verb and resource: 'Log local hydration in milliliters.' This clearly differentiates water logging from food-intake logging by naming the unit and hydration domain. It does not explicitly name sibling tools, which keeps it from a 5.

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 gives a contextual trigger ('after explicit user intent' and 'after the user asks to save/log water') but does not state when to prefer this over sibling log tools such as nourish_log_intake or nourish_bulk_log_intake, nor does it give exclusions.

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