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hhopke
by hhopke

icu_get_custom_items

Read-onlyIdempotent

Get all custom items from your Intervals.icu account—custom charts, data fields, stream definitions, and zones configurations—in one request.

Instructions

List the user's custom additions to their Intervals.icu account.

Use this when the user asks about THEIR OWN customizations: "show my custom charts", "list my custom fields", "what custom zones do I have", "what's on my dashboard", "do I have any custom activity panels".

Returns every custom item across all types in one call: custom charts (FITNESS_CHART, TRACE_CHART, ACTIVITY_CHART, ACTIVITY_HISTOGRAM, ACTIVITY_HEATMAP, ACTIVITY_MAP, ACTIVITY_PANEL, FITNESS_TABLE), custom data fields (INPUT_FIELD on wellness, ACTIVITY_FIELD on activities, INTERVAL_FIELD on intervals), custom ACTIVITY_STREAM definitions, and custom ZONES configurations. Each item has a type field so you can filter client-side if the user asked about a specific kind.

Do NOT use this for built-in zones, built-in fields, or athlete profile data — those have dedicated tools (icu_get_sport_settings, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
athlete_idNoAthlete ID (for coaches managing multiple athletes)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare read-only, non-destructive, idempotent. Description adds behavioral details: returns all types in one call, client-side filtering via type field. No contradictions.

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?

Well-structured with summary, usage guidance, return details, and exclusions. Slightly verbose but each sentence adds value.

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?

Given output schema exists, description covers usage, return types, and filtering without needing to detail return values. Complete for the tool's purpose.

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 description does not add new meaning beyond the schema's own description of athlete_id for coaches.

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 lists custom additions to Intervals.icu account, with specific examples. It distinguishes from sibling tools that handle built-in data.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (user asking about their own customizations) and when-not-to-use (built-in zones, fields, etc.) with alternative tool references.

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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