Skip to main content
Glama
eddmann

intervals-icu-mcp

by eddmann

get_activity_details

Retrieve comprehensive details for a specific activity, including all metrics, weather, and performance data. Supply the activity ID to get the full information.

Instructions

Get detailed information for a specific activity.

Returns comprehensive activity details including all metrics, weather, and performance data.

Args: activity_id: The unique ID of the activity

Returns: JSON string with detailed activity information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
activity_idYesActivity ID to fetch

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It discloses the return type ('JSON string') and the included data categories, which is useful. However, it does not mention any edge cases, permissions, or side effects (though a GET implies none), leaving the agent to infer safety from the verb 'Get'.

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 separate sections for purpose, arguments, and return value. It is reasonably concise, though the Args and Returns sections duplicate schema information and the phrase 'comprehensive activity details' appears twice. Slight redundancy prevents a perfect score, but otherwise it is clean and front-loaded.

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?

Given the tool's simplicity (one parameter) and the presence of an output schema, the description is fairly complete. It covers what data is included and the return format, leaving detailed field definitions to the output schema. Minor gaps include lack of guidance on obtaining the activity_id or access requirements, but these are secondary for a straightforward getter.

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% with the schema already describing activity_id as 'Activity ID to fetch'. The description's Args section merely repeats this as 'The unique ID of the activity', adding minimal semantic value beyond the schema. Per the rubric, baseline is 3 given high schema coverage, and this description confirms the baseline without enhancing it.

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 'Get detailed information for a specific activity' with a specific verb and resource, and goes further to list content categories ('all metrics, weather, and performance data'). This distinguishes it from more granular sibling tools like get_activity_streams or get_activity_intervals, which target specific data types.

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 this is the tool for full activity details, but does not explicitly state when to use it instead of alternatives like get_activity_streams or get_activity_intervals. It lacks both positive guidance (e.g., 'use when you need a comprehensive overview') and exclusions (e.g., 'for raw time-series data, use get_activity_streams'), so usage context is only implied.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/eddmann/intervals-icu-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server