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eddmann

intervals-icu-mcp

by eddmann

create_gear

Create a gear item to track equipment usage and maintenance. Provide name, gear type, brand, model, and active/primary settings. Returns the created item with ID and initial stats.

Instructions

Create a new gear item for tracking equipment usage and maintenance.

Args: name: Name of the gear item (e.g., "Road Bike", "Running Shoes") gear_type: Type of gear - BIKE, SHOE, TRAINER, WETSUIT, or OTHER brand: Brand name (optional) model: Model name (optional) active: Whether this gear is actively used (default: True) primary: Whether this is the primary gear of this type (default: False)

Returns: Created gear item with ID and initial stats

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the gear item
brandNoBrand name
modelNoModel name
activeNoWhether this gear is actively used
primaryNoWhether this is the primary gear of this type
gear_typeYesType of gear (e.g., 'BIKE', 'SHOE', 'TRAINER', 'WETSUIT', 'OTHER')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It states that a new gear item is created and that the return includes ID and initial stats, but it does not disclose side effects such as behavior when 'primary' is set to True and a primary gear of that type already exists, or any permissions required. This is adequate but not rich.

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

Conciseness5/5

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

The description is a well-organized docstring with a concise summary, a clear Args section with defaults and examples, and a Returns section. Every line adds useful information, and the structure is front-loaded and easy to scan.

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 moderate complexity (6 parameters, output schema present), the description covers the essential purpose and return value. It lacks explicit guidance on when to use it versus alternatives, but the operation is straightforward and the output schema mitigates the need for detailed return descriptions.

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 input schema has 100% parameter description coverage, so the baseline is 3. The description repeats the schema info and adds examples (e.g., 'Road Bike') and clarifications of defaults, but it does not add meaningful semantics beyond what the schema already provides.

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 opens with 'Create a new gear item for tracking equipment usage and maintenance,' which uses a specific verb ('Create') and resource ('gear item'). It clearly distinguishes from sibling tools like update_gear, delete_gear, and create_gear_reminder by focusing on creation of gear items only.

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 implies use for new gear items and lists parameters with examples, making the creation context clear. However, it does not explicitly mention alternatives like update_gear for modifying existing gear or create_gear_reminder for reminders, so it lacks explicit when-not-to-use guidance.

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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