overnight_analysis

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

With no annotations provided, the description carries the full burden of behavior disclosure. It does this well by listing the specific outputs and analyses performed: stability, trend direction, timed min/max, dawn phenomenon detection, time in range, and basal adequacy. It does not discuss edge cases or return format, but for a read-only analysis tool the computed dimensions are the key behavioral surface.

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 compact and front-loaded with the most important information. There is minor redundancy between 'overnight glucose analysis' and 'Analyzes from evening to morning,' but every listed analysis earns its place and no filler is present.

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 tool with three optional, fully documented parameters and no output schema, the description provides enough context about scope and analytical content for an agent to select and invoke it correctly. It could be slightly more complete by clarifying expected output format or explicitly distinguishing it from daily/period analyses, but it is adequate overall.

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?

Schema description coverage is 100%, so the three optional parameters (date, night_start, night_end) are already fully documented in the input schema. The description adds no parameter-specific semantics, but none is needed because the schema already provides the meaning and defaults.

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 names a specific resource (overnight glucose) and a concrete set of analyses: stability, trend direction, min/max with timestamps, dawn phenomenon, time in range, and basal adequacy. This clearly differentiates the tool from siblings like get_daily_report or analyze_meal by narrowing scope to overnight data.

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 communicates the context — 'Analyzes from evening to morning' — so an agent can infer it is for overnight assessment. However, it gives no explicit guidance on when to prefer this tool over related siblings such as get_daily_report, detect_patterns, or compare_periods, and it names no alternatives.

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