tre__get_lists
Retrieve all lists from a Trello board to organize tasks and workflows. Provide the board ID to access list data.
Instructions
Get all lists in a board
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| boardId | Yes | The ID of the board |
Retrieve all lists from a Trello board to organize tasks and workflows. Provide the board ID to access list data.
Get all lists in a board
| Name | Required | Description | Default |
|---|---|---|---|
| boardId | Yes | The ID of the board |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Get all lists' but doesn't specify whether this is a read-only operation, if it requires authentication, how it handles errors, or what the return format looks like (e.g., pagination, JSON structure). For a 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly. Every part of the sentence contributes to understanding the tool's function.
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 low complexity (single required parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, usage context, and output expectations. For a simple read operation, this might suffice, but it doesn't provide a complete picture for an AI agent to use it effectively without additional context.
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 100% description coverage, with the single parameter 'boardId' clearly documented as 'The ID of the board'. The description adds no additional semantic information beyond what the schema provides, such as format examples or constraints. With high schema coverage, the baseline score of 3 is appropriate as the schema handles the parameter documentation adequately.
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 resource 'all lists in a board', making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'tre__get_boards' or 'tre__get_cards', but the specificity of 'lists in a board' provides some implicit distinction. No tautology or misleading elements are present.
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. It doesn't mention prerequisites, such as needing a valid board ID, or compare it to sibling tools like 'tre__get_boards' for board-level operations or 'tre__get_cards' for card retrieval. Usage context is implied but not explicitly stated.
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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