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vgmakeev
by vgmakeev

analyze

Examine glucose patterns from Nightscout CGM data for any date range—specific dates, months, or relative periods—with customizable time-in-range goals.

Instructions

Analyze glucose patterns for any date range. Supports dates (YYYY-MM-DD), months (YYYY-MM), or relative periods (7d, 2w, 3m, 1y)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date (optional, defaults to now): YYYY-MM-DD or YYYY-MM
fromNoStart date: YYYY-MM-DD, YYYY-MM, or relative (7d, 2w, 3m, 1y)7d
tirGoalNoTIR goal percentage
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Analyze glucose patterns' without explaining what the output looks like, whether it is a read-only operation, or what types of analyses are performed. It does not describe the return format or any side effects, making it inadequate for an agent to anticipate the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the action, and wastes no words. It efficiently conveys the core functionality and supported date formats. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and no annotations, the description must explain what the tool returns or accomplishes. It only states 'Analyze glucose patterns' without detailing the nature of the analysis or the result format. This is a significant gap for a tool with minimal structured metadata, leaving the agent uncertain about the tool's output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all parameters. The description repeats the date formats (YYYY-MM-DD, YYYY-MM, relative periods) already present in the 'from' description. It adds a slight ambiguity by suggesting 'any date range' supports relative periods, while the 'to' schema only allows absolute dates. It provides marginal value but doesn't fully compensate for the schema's clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Analyze glucose patterns for any date range.' The verb 'Analyze' and resource 'glucose patterns' are specific, and 'any date range' distinguishes it from the sibling tool 'analyze_monthly' which is likely month-specific. This is a specific verb+resource+scope statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for arbitrary date ranges with support for dates, months, and relative periods. However, it does not explicitly state when NOT to use this tool or name alternatives. The sibling tool 'analyze_monthly' is not mentioned, though the contrast is clear. This provides clear context but no exclusions.

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

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