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

Annotations already establish read-only, idempotent, non-destructive behavior; the description adds value by disclosing the exact returns and an important behavioral stance—'Optional for the user; suggest, don't push'—which is meaningful for agent interaction style and not inferable from 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 primary action is front-loaded in the first sentence, followed by a targeted use-case list and return summary. The enumeration of sources is long but directly useful for an agent deciding relevance; no sentence is redundant.

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 correctly carries the burden of explaining return values (connections, benefits, app link). Combined with annotations for safety and explicit usage triggers, an agent has everything needed to recognize when to invoke this tool and what to expect from it.

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 tool has 0 parameters, so the baseline of 4 applies. The description does not need to explain parameters and instead clarifies output and usage context, which is sufficient given the empty 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 states a specific informational verb ('Explain') tied to a distinct resource ('Anomaly's health memory') and explicitly lists what it returns (connections, benefits, App Store link). This clearly differentiates it from sibling tools like book_session or check_availability.

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?

Provides explicit 'Use when' triggers with an enumerated list of data sources (Function Health, Prenuvo, Cleerly, genetic reports, EMR, wearables) and a secondary use case (uploading before Physician Health Review). It lacks explicit when-not-to-use or alternative tool comparisons, but the context is sufficiently specific.

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