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csikosaron98

Intervals.icu MCP Server

by csikosaron98

get_activity_streams

Get time-series metrics for an Intervals.icu activity, such as power, heart rate, cadence, altitude, distance, temperature, and velocity. Provide the activity ID to retrieve specific stream data.

Instructions

Get stream data for a specific activity from Intervals.icu

This endpoint returns time-series data for an activity, including metrics like power, heart rate, cadence, altitude, distance, temperature, and velocity data.

Args: activity_id: The Intervals.icu activity ID api_key: The Intervals.icu API key (optional, will use API_KEY from .env if not provided) stream_types: Comma-separated list of stream types to retrieve (optional, defaults to all available types) Available types: time, watts, heartrate, cadence, altitude, distance, core_temperature, skin_temperature, velocity_smooth

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
activity_idYes
stream_typesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral transparency burden and does a solid job: it discloses that api_key is optional and falls back to API_KEY from .env, that stream_types defaults to all available types, and that the endpoint returns time-series data across many metrics. It does not discuss errors or rate limits, but the output schema reduces the need for detailed return-value explanation.

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

Conciseness4/5

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

The description is well structured with a concise summary followed by an Args list. The first sentence is mildly redundant with the rest of the summary, but the included metric enumeration and parameter explanations earn their place.

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

Completeness4/5

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

All three parameters are documented with defaults and options, and an output schema is present, covering return-value expectations. The main missing context is explicit routing among sibling activity tools and failure/error behavior, but for a read-only stream retrieval tool this is nearly complete.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must compensate, and it does thoroughly. It explains activity_id, api_key's optionality and .env fallback, and stream_types' comma-separated format, default behavior, and the full list of available stream types. This is exactly the parameter-level detail the schema omits.

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

Purpose4/5

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

The description opens with a specific action and resource: 'Get stream data for a specific activity from Intervals.icu' and clarifies that it returns time-series metrics. It clearly identifies the tool's purpose, though it does not explicitly differentiate it from siblings like get_activity_raw or get_activity_intervals.

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

Usage Guidelines3/5

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

The description implies the intended use case: retrieving time-series stream data for an activity. However, it provides no explicit guidance about when to prefer this tool over alternatives such as get_activity_raw or get_activity_details, leaving an agent to infer the distinction from context.

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