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

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds valuable context about bulk execution via patient_ids and the intended audience (clinic/follower account), along with a medical disclaimer, which goes beyond the 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?

The description is extremely concise with two main sentences and a separate line for bulk support, front-loading the core functionality and constraints without wasted words.

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?

Despite annotations providing read-only and idempotent hints, the description lacks explanation of the return value (no output schema) and parameter semantics, leaving significant gaps for a tool with 5 parameters and moderate complexity.

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?

With 0% schema description coverage and 5 parameters, the description fails to add meaning for any parameter. It only mentions 'timezone' implicitly via 'IANA timezone' and 'patient_ids' for bulk support, but does not explain target_low, target_high, patient_id, or the default values.

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 'get' and resource 'today summary' of glucose stats, and distinguishes it from the sibling tool 'librelink_business_get_glucose_stats' by specifying the 'today' filter and inclusion of hypo/hyper event counts.

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 provides context about read-only CGM data for clinic/follower accounts and includes a warning against use for medical decisions without clinician review, but does not explicitly state when to use this tool versus alternatives or when not to use it.

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