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Chrusic

Todoist MCP Server

by Chrusic

todoist_create_personal_label

Create custom labels in Todoist to organize tasks by category, priority, or context, with options for color coding, ordering, and marking favorites.

Instructions

Create one or more personal labels in Todoist

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelsNoArray of labels to create (for batch operations)
nameNoName of the label
colorNoColor of the label (optional)
orderNoOrder of the label (optional)
is_favoriteNoWhether the label is a favorite (optional)
Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It states it creates labels but doesn't disclose whether this requires specific permissions, if it's idempotent, what happens on duplicate names, error conditions, or response format. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 single, efficient sentence that front-loads the core purpose without unnecessary words. It directly communicates the action, resource, and batch capability, making every word count with zero redundancy.

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?

For a mutation tool with 5 parameters, no annotations, and no output schema, the description is insufficient. It doesn't address behavioral aspects like permissions, idempotency, or error handling, nor does it explain the parameter choice logic. The agent lacks critical context needed to use this tool effectively beyond basic parameter passing.

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 description coverage is 100%, providing detailed documentation for all parameters including optional fields and enum values. The description adds marginal value by hinting at batch capability ('one or more'), but doesn't explain the 'anyOf' logic for choosing between 'labels' array or individual 'name' parameter. Baseline 3 is appropriate when the schema does most of the work.

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 ('Create') and resource ('personal labels in Todoist'), with the specific detail of supporting batch operations ('one or more'). However, it doesn't explicitly differentiate from sibling tools like 'todoist_update_personal_label' or 'todoist_create_project', which would require mentioning it's for initial creation rather than modification or other resource types.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention when to choose batch vs. single creation, how it differs from 'todoist_update_personal_label' or 'todoist_get_personal_labels', or any prerequisites like authentication requirements. The agent must infer usage from the name and schema alone.

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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