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eddmann

intervals-icu-mcp

by eddmann

get_pace_histogram

Generate a pace histogram for an activity, showing time spent at each pace level to analyze pace distribution and consistency.

Instructions

Get pace distribution histogram for an activity.

Analyzes how pace was distributed across the activity, showing time spent at different pace levels. Useful for running activities to understand pace distribution and consistency.

Args: activity_id: The unique ID of the activity

Returns: JSON string with pace distribution bins

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
activity_idYesActivity ID to analyze

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the burden. It explains the analysis behavior and return format (JSON string with bins), but does not disclose potential edge cases, permissions, or whether it is strictly read-only. It is adequate for a simple histogram tool but lacks deeper behavioral context.

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 concise and well-structured, with a clear heading, a brief description, and separate Args and Returns sections. Every sentence adds value without redundancy.

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

Completeness5/5

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

For a single-parameter tool with an output schema, the description is complete. It explains what the tool does, why it is useful, and what the return format is. No critical information is missing.

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% and the description reiterates the parameter with 'The unique ID of the activity', adding minimal meaning beyond the schema. It does not significantly enhance the understanding of the parameter.

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 a specific verb and resource ('Get pace distribution histogram for an activity') and explains what it does (shows time spent at different pace levels). It distinguishes itself from sibling tools like get_power_histogram and get_hr_histogram by focusing on pace.

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 provides clear context on when to use it ('Useful for running activities to understand pace distribution and consistency'). It does not explicitly mention alternatives or exclusions, but the use case is well implied.

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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