todoist_label_stats
Retrieve usage statistics for all Todoist labels to analyze how each label is used in tasks and projects.
Instructions
Get usage statistics for all labels in Todoist
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve usage statistics for all Todoist labels to analyze how each label is used in tasks and projects.
Get usage statistics for all labels in Todoist
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It indicates a read operation but lacks details on what 'usage statistics' entails, potential side effects, or authentication needs. Adequate but minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no superfluous words, achieving maximum conciseness and front-loading the purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While the tool is simple, the lack of output schema and minimal description may leave the agent uncertain about return format. For a basic stats tool, it is adequate but not rich.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, and the schema coverage is 100% (empty). Per guidelines, baseline is 4 for 0 parameters. The description correctly implies no input needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'usage statistics for all labels', making the tool's purpose immediately obvious and distinct from siblings like label_get which retrieves label details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. Given the many sibling tools, the description offers no context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/greirson/mcp-todoist'
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