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Trainzilla

Trainzilla MCP

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by Trainzilla

create_habit

Create a habit for a client, specifying name, schedule, reminders, and category. Preview the habit, then confirm to save.

Instructions

Create a habit for a client (confirm-gated). daysOfWeek: 0=Sun..6=Sat (empty = every day). reminderTime: 'HH:mm'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientIdYes
nameYes
emojiNo
descriptionNo
categoryNo
frequencyNoDAILY
targetCountNo
daysOfWeekNo
reminderTimeNo
confirmNoMust be true to actually execute. If false/omitted, returns a preview only.
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the confirm-gated behavior (preview vs actual creation) and specifies format for daysOfWeek and reminderTime. However, it lacks details on permissions, destructive actions, or what happens on failure.

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 very concise, using two sentences that front-load the purpose and key parameter info. It is well-structured for quick reading, though could benefit from a bullet list for clarity with many parameters.

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

Completeness2/5

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

With 10 parameters and no output schema, the description should explain what the tool returns or prerequisites. It does not mention the response format (e.g., created habit object) or required client existence. Important context is missing for an agent to use it effectively.

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

Parameters2/5

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

Schema coverage is only 10%, so the description must compensate. It adds meaning for daysOfWeek (range and empty meaning) and reminderTime (format). But it leaves 7 other parameters (clientId, name, emoji, description, category, frequency, targetCount) without any explanation, which is insufficient given low schema coverage.

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 tool creates a habit for a client and notes it is confirm-gated. However, it does not differentiate from sibling tools like create_master_habit or assign_master_habit, which reduces clarity about which tool to use.

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 explicit guidance on when to use this tool vs alternatives such as create_master_habit. The confirm-gated note hints at a preview mode but does not explain conditions for choosing this over other habit-related tools.

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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