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Ticket Dependency Remove

ticket_dependency_remove

Stop an owned ticket from waiting on a prerequisite. Removing the last unsatisfied edge can allow this ticket to close, so this is a gate-opening action. Nothing is deleted: the edge is retained, marked with who removed it and when, and the removal is appended to a ledger that survives everything after it. This is not a way to say the prerequisite work is finished — that remains a separate statement about that ticket. Removal is allowed even when either ticket is archived. Rejections carry a stable code: dependency_not_found (404), dependency_already_removed (409).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticket_idYes
dependency_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "additionalProperties": false,
      -  "properties": {
      -    "text": {
      -      "type": "string"
      -    }
      -  },
      -  "required": [
      -    "text"
      -  ],
      -  "type": "object"
      -}New value: +null
  2. Added

TDQS

A4.7/5.0
Behavior5/5

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

The description goes far beyond the annotations by explaining that the edge is retained, removal is recorded in a permanent ledger, the action is non-destructive, archived tickets are permitted, and rejections use stable error codes. This is exactly the behavioral context an agent needs.

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 dense but every sentence earns its place: purpose, risk, permanence, non-use case, edge case, and error codes are covered in four sentences with no filler. Key behavioral facts are front-loaded before caveats.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter mutation with no output schema and weak annotations, the description is remarkably complete. It covers what happens, what does not happen, when it is allowed, and how failures surface, leaving no critical ambiguity about how to safely invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description compensates by establishing the semantic roles: ticket_id is the owned ticket and dependency_id is the prerequisite it no longer waits on. The two parameter names are already reasonably self-explanatory, and the description reinforces their relationship.

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 and resource: 'Stop an owned ticket from waiting on a prerequisite.' It clearly distinguishes this from dependency creation or listing by explaining the gate-opening effect, and the tool name itself is unambiguous among siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives clear context for when removal is appropriate and explicitly notes what this action is NOT for: 'This is not a way to say the prerequisite work is finished.' It stops short of naming a specific alternative tool, but the exclusion is direct and actionable.

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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