Critical Risk →

remove_dependency_view_edge

Remove a dependency edge from a dependency planning view. Returns summary plus changed ids by default; set verbose=true for full data.

How to control remove_dependency_view_edge ↓

AI agents call remove_dependency_view_edge to permanently remove resources in Roadmap Skill — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Critical Risk

Removing a dependency edge deletes a structural relationship in the dependency graph. This is likely irreversible (no undo mentioned), making it Destructive. The blast radius is medium: while it doesn't delete tasks or projects themselves, removing dependency edges can silently corrupt the dependency graph, causing incorrect planning, missed blockers, or broken workflows that may be hard to detect.

From the tool's definition 'Remove a dependency edge from a dependency planning view' — the word 'remove' indicates deletion of a relationship between nodes in the dependency graph.

Documented attack patterns abuse exactly the kind of access remove_dependency_view_edge gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Roadmap Skill, and nothing reaches the server without passing your rules. This is the rule we recommend for remove_dependency_view_edge:

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "remove_dependency_view_edge"
  ]
}

remove_dependency_view_edge disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.

  1. Create a free account and register Roadmap Skill — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the remove_dependency_view_edge tool do? +

Remove a dependency edge from a dependency planning view. Returns summary plus changed ids by default; set verbose=true for full data. It is categorised as a Destructive tool in the Roadmap Skill MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on remove_dependency_view_edge? +

Register the Roadmap Skill MCP server in PolicyLayer and add a rule for remove_dependency_view_edge: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Roadmap Skill. Nothing to install.

What risk level is remove_dependency_view_edge? +

remove_dependency_view_edge is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit remove_dependency_view_edge? +

Yes. Add a rate_limit block to the remove_dependency_view_edge rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block remove_dependency_view_edge completely? +

Set action: deny in the PolicyLayer policy for remove_dependency_view_edge. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides remove_dependency_view_edge? +

remove_dependency_view_edge is provided by the Roadmap Skill MCP server (shiquda/roadmap-skill). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Roadmap Skill tool call.

Deterministic rules across all 32 Roadmap Skill tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

32 Roadmap Skill tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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