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eddmann

intervals-icu-mcp

by eddmann

get_athlete_profile

Retrieve the authenticated athlete's profile with personal details, sport settings, and current fitness metrics (CTL, ATL, TSB).

Instructions

Get the authenticated athlete's profile information.

Returns athlete profile including personal details, sport settings, and current fitness metrics (CTL, ATL, TSB).

Returns: JSON string with athlete profile data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 must carry the transparency burden. It indicates a read operation via 'Get' and specifies the return format as a JSON string, which is helpful. However, it does not explicitly state that the operation is side-effect-free or describe error conditions (e.g., missing authentication), which would be valuable given the lack of annotations.

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 short but has minor redundancy: the first sentence mentions the profile contents, and the second 'Returns' line repeats 'athlete profile data' instead of adding new detail. It could be tightened into one efficient sentence without losing information.

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

Completeness3/5

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

For a simple zero-parameter tool, the description covers the core purpose and return content, and an output schema likely exists as stated. However, it does not explain how this tool relates to overlapping siblings like get_fitness_summary and get_sport_settings, leaving a gap in contextual completeness that could confuse an agent choosing between tools.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description adds value by enumerating the content of the profile (personal details, sport settings, fitness metrics), which helps set expectations even though no parameter explanations are needed.

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 clearly states the action (Get) and resource (athlete profile), scoped to the authenticated athlete, with a list of included data. However, it does not explicitly differentiate from siblings like get_fitness_summary or get_sport_settings, which have overlapping return fields.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. The description only states what the tool returns, leaving the agent to infer when to choose it over sibling tools that provide fitness metrics or sport settings individually.

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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