get_current_glucose

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

No annotations are provided, so the description carries the burden of disclosure. It explains that the tool returns the most recent glucose value, trend direction, and timestamp, and imposes a 10-minute freshness constraint. However, it does not specify what happens if no reading is within the last 10 minutes (e.g., error, empty result).

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 two concise sentences, front-loaded with the primary action. It avoids redundancy and every sentence adds meaningful information about what the tool does and its constraints.

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?

For a parameterless tool with no output schema, the description covers the essential return fields and a critical time constraint. It could be more complete by addressing edge cases, but given the simplicity, it is sufficiently detailed.

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 zero parameters and schema coverage is 100% (vacuous). The description adds no parameter info because none are needed; per guidance, the baseline for 0 params is 4.

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 a specific action ('Get the current glucose reading') and identifies the resource. It distinguishes this from sibling tools like get_glucose_readings by focusing on 'current' and emphasizing recency.

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 clear context: use this tool when you need the most recent glucose reading, and it must be within the last 10 minutes. It does not explicitly name alternatives or state when not to use it, but the recency constraint effectively communicates its scope.

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