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m0xai

Trello MCP Server with Python

by m0xai

update_checklist

Modify Trello checklist details like name or position to keep task tracking current and organized.

Instructions

Update an existing checklist.

Args:
    checklist_id (str): The ID of the checklist to update
    name (Optional[str]): New name for the checklist
    pos (Optional[str]): New position for the checklist

Returns:
    Dict: The updated checklist data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checklist_idYes
nameNo
posNo

Implementation Reference

  • MCP tool handler function for 'update_checklist'. Delegates to ChecklistService.update_checklist.
    async def update_checklist(
        checklist_id: str, name: str | None = None, pos: str | None = None
    ) -> Dict:
        """
        Update an existing checklist.
    
        Args:
            checklist_id (str): The ID of the checklist to update
            name (Optional[str]): New name for the checklist
            pos (Optional[str]): New position for the checklist
    
        Returns:
            Dict: The updated checklist data
        """
        return await service.update_checklist(checklist_id, name, pos)
  • Registration of the 'update_checklist' tool in the MCP server.
    mcp.add_tool(checklist.update_checklist)
  • ChecklistService method implementing the update_checklist logic by calling Trello API.
    async def update_checklist(
        self, checklist_id: str, name: str | None = None, pos: str | None = None
    ) -> Dict:
        """
        Update an existing checklist.
    
        Args:
            checklist_id (str): The ID of the checklist to update
            name (Optional[str]): New name for the checklist
            pos (Optional[str]): New position for the checklist
    
        Returns:
            Dict: The updated checklist data
        """
        data = {}
        if name:
            data["name"] = name
        if pos:
            data["pos"] = pos
        return await self.client.PUT(f"/checklists/{checklist_id}", data=data)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is an update operation (implying mutation) and mentions the return format, but fails to describe important behavioral aspects: whether this requires specific permissions, if updates are partial or complete, what happens when optional parameters are omitted, error conditions, or rate limits. The return format mention is helpful but insufficient for a mutation tool.

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 efficiently structured with a clear purpose statement followed by parameter and return documentation. Each sentence serves a distinct purpose with minimal waste. The Args/Returns formatting helps organization, though the parameter explanations could be more detailed given the 0% schema coverage.

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 3 parameters, 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It covers basic parameter identification and return format but misses critical context: error handling, permission requirements, update semantics (partial vs. complete), and what 'pos' actually means. The description doesn't compensate sufficiently for the lack of structured metadata.

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 0%, so the description must compensate. It documents all three parameters (checklist_id, name, pos) with basic explanations, which adds value beyond the bare schema. However, it doesn't explain parameter constraints (e.g., format of checklist_id, what 'pos' represents, length limits for name), leaving significant gaps in understanding despite covering all parameters.

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 verb ('Update') and resource ('an existing checklist'), making the purpose immediately understandable. It distinguishes from sibling tools like 'create_checklist' by specifying it updates existing items rather than creating new ones. However, it doesn't specify what aspects beyond name and position can be updated, which prevents 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.

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 like 'update_card' or 'update_list', nor does it mention prerequisites such as needing an existing checklist ID. While it's clear this updates checklists specifically, there's no context about when this operation is appropriate versus other update operations in the system.

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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