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eddmann

intervals-icu-mcp

by eddmann

bulk_create_events

Create multiple Intervals.icu calendar events at once, simplifying batch entry for training schedules, races, and activities.

Instructions

Create multiple calendar events in a single operation.

This is more efficient than creating events one at a time. Provide a JSON array of event objects, each with the same structure as create_event.

Args: events: JSON array of event objects to create

Returns: JSON string with created events

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsYesJSON string containing array of events. Each event should have: start_date_local, name, category, and optional fields like description, type, moving_time, distance, icu_training_load

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 burden. It adds useful context about input format ('JSON array') and return value ('JSON string with created events'), but omits critical bulk-operation behaviors such as atomicity, partial-failure handling, or batch size limits.

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, front-loaded with purpose, and well-organized with Args/Returns sections. There is minor redundancy in repeating 'JSON array', but overall every sentence earns its place.

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?

An output schema exists and the one parameter is fully described, so core usage is adequately covered. However, for a bulk mutation tool, the lack of any information about error behavior, partial success, or rate limits leaves an important gap in completeness.

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?

The schema covers 100% of the single 'events' parameter with a detailed description, so the baseline is 3. The description adds 'JSON array' and references create_event structure, but does not provide meaningful extra semantics beyond the schema.

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 'Create multiple calendar events in a single operation' with a specific verb and resource. It distinguishes itself from the sibling create_event by emphasizing the batch aspect and referencing the single-event structure.

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 explicitly says 'This is more efficient than creating events one at a time', giving a clear comparative usage cue. It does not name the alternative tool or provide exclusions, but the context makes the batch vs. single distinction clear.

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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