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 behavioral disclosure burden. It transparently states what the tool returns, including how old the reading is, which is useful staleness information. It does not mention edge cases like missing or expired glucose data, but for a simple read-only getter this is a minor gap.

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 compact sentences with no filler. The first sentence states the operation and output fields, and the second gives a crisp usage directive. Every sentence earns its place.

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 zero-parameter tool with no output schema, the description explains the return contents and provides an invocation-order hint. It is sufficient for an agent to know what this tool does and roughly what to expect, though specifying units or behavior for unavailable readings would make it fully complete.

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, so the description naturally cannot add parameter-level meaning. The baseline of 4 applies here; no further documentation is needed.

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 specifies a concrete operation: get the current/latest glucose value. It also enumerates the key returned components (trend direction, delta, reading age), which distinguishes it from sibling tools like get_glucose_history and glucose_at_time.

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 instruction 'Always call this first to understand the current state' gives explicit ordering guidance and establishes its role as the entry point. It does not name alternatives or explicitly say when not to use it, but the 'current' qualifier makes the intended usage clear.

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