Planka MCP Server

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

No annotations are provided, so the description carries full burden. It only states 'manage kanban tasks with various operations,' which doesn't disclose behavioral traits such as whether operations are read-only or destructive, authentication needs, rate limits, or error handling. For a tool with multiple actions including create, update, and delete, this is a significant gap.

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 with no wasted words. It's appropriately sized for a high-level overview, though it could be more front-loaded with specific details. Every word earns its place, but it lacks depth.

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 (7 parameters, multiple actions including mutations like create/update/delete) and no annotations or output schema, the description is incomplete. It doesn't cover behavioral aspects, return values, or usage scenarios, making it inadequate for an AI agent to understand the tool's full context and operation.

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?

Schema description coverage is 100%, so the schema already documents all 7 parameters with descriptions. The description adds no meaning beyond the schema, as it doesn't explain parameter relationships or usage. With high schema coverage, the baseline is 3, but the description doesn't compensate with additional context.

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 'Manage kanban tasks with various operations' states the general purpose (managing tasks) but is vague about what 'manage' entails. It doesn't specify the exact operations available or distinguish this tool from sibling tools like mcp_kanban_card_manager or mcp_kanban_list_manager, which likely manage different kanban entities.

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. The description mentions 'various operations' but doesn't specify contexts, prerequisites, or exclusions. With siblings like mcp_kanban_card_manager, there's no indication of how task management relates to card management, leaving usage unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.