get_sections_list
Retrieve sections from a Todoist project to organize tasks and manage workflow structure.
Instructions
Get sections list from Todoist
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | No |
Retrieve sections from a Todoist project to organize tasks and manage workflow structure.
Get sections list from Todoist
| Name | Required | Description | Default |
|---|---|---|---|
| project_id | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure but only states the action without details on permissions, rate limits, response format, or error handling. For a read operation tool, this leaves significant gaps in understanding how it behaves in practice.
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, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core purpose without unnecessary elaboration.
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?
Given the tool's complexity (a read operation with one parameter), lack of annotations, no output schema, and minimal description, it's incomplete. The description doesn't cover parameter usage, return values, or behavioral traits, making it inadequate for full contextual understanding.
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?
The input schema has one parameter ('project_id') with 0% description coverage, and the tool description adds no information about this parameter's purpose, format, or usage. This fails to compensate for the schema's lack of documentation, leaving the parameter's semantics unclear.
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 action ('Get') and resource ('sections list from Todoist'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get_sections' or 'get_projects_list', which would require more specificity to earn a perfect score.
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?
The description provides no guidance on when to use this tool versus alternatives like 'get_sections' or 'get_projects_list', nor does it mention prerequisites or context for usage. It's a basic statement of function without operational context.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/stanislavlysenko0912/todoist-mcp-server'
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