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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed world, so safety is covered. The description adds real behavioral content beyond that: what the read returns, the 30-180 minute observation window, and the caveat that results are always a complete query with no partial mode.

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?

One dense sentence plus a short caveat, with the core purpose front-loaded before the metric list. No filler, though the packed clause listing four metrics is harder to parse than a short bulleted breakdown would be.

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?

With no output schema, the description reasonably enumerates the metrics returned, but leaves open the exact response shape, units and whether the 30-180 minute window is fixed or adaptive. For a single-parameter read tool this is adequate but not fully self-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?

There is one required parameter with 0% schema description coverage, so the description must carry it. 'Por su id' tells the agent an entry identifier is expected and implies it can point at different entry types (exercise is singled out), but it does not state which entry kinds are valid or what happens for a non-matching id.

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 resource and analytic operation: the glucose trajectory after a logged entry (or during it, for exercise), plus which metrics it reports (starting value, maximum, 30-180 min changes, time to return). An agent can distinguish it from get_glucose or get_meal_response, though no sibling is named explicitly.

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?

There is no explicit guidance on when to choose this tool over get_glucose, get_entries or get_meal_response, and no exclusions or prerequisites. The parenthetical '(o durante, si es ejercicio)' hints at when the semantics shift, but the agent must infer the selection rule from names alone.

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