Skip to main content
Glama
multidimensionalcats

kanban-mcp

remove_relationship

Deletes an existing relationship between two items, clearing the link from your kanban board.

Instructions

Remove a relationship between two items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
source_idYessource_id parameter
target_idYestarget_id parameter
relationship_typeYesrelationship_type parameter
Behavior2/5

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

With no annotations, the description carries the full burden but only states the action. It does not disclose side effects, whether removal is permanent, or how errors are handled (e.g., if the relationship doesn't exist). This is a significant gap for a destructive operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that is front-loaded and free of fluff. It efficiently communicates the core purpose.

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 simple removal tool with no annotations or output schema, the description is minimal but leaves out important operational details, such as whether the operation is idempotent, the direction of the relationship, and any dependencies. It feels under-specified for an agent needing to invoke it correctly.

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?

The schema covers all three parameters, but their descriptions are tautological. The tool description adds minimal context by mentioning 'two items' but does not clarify the roles of source_id and target_id or the format of relationship_type. Baseline 3 applies due to high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('remove') and identifies the resource ('relationship between two items'), clearly distinguishing it from sibling tools like add_relationship. It unambiguously states the core action.

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?

No guidance is provided on when to use this tool versus alternatives such as add_relationship, nor any prerequisites like the relationship needing to exist. The description offers no usage context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/multidimensionalcats/kanban-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server