Low Risk

list_dependency_views

List dependency planning views in a project. Returns summaries by default; set includeTasks=true for Agent-friendly task snapshots or verbose=true for raw node and edge data.

How to control list_dependency_views ↓

AI agents call list_dependency_views to retrieve information from Roadmap Skill without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves and queries existing dependency views and their metadata. The includeTasks and verbose parameters control the detail level of the response, but do not modify data. No data is created, deleted, executed, or modified. This is a straightforward read/retrieval operation with minimal blast radius if misused by an AI agent.

From the tool's definition Tool name contains 'list' and description states 'List dependency planning views in a project. Returns summaries by default' — retrieval operation with no side effects.

Documented attack patterns abuse exactly the kind of access list_dependency_views 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 list_dependency_views:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_dependency_views": {}
  }
}

list_dependency_views is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  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 list_dependency_views tool do? +

List dependency planning views in a project. Returns summaries by default; set includeTasks=true for Agent-friendly task snapshots or verbose=true for raw node and edge data. It is categorised as a Read tool in the Roadmap Skill MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_dependency_views? +

Register the Roadmap Skill MCP server in PolicyLayer and add a rule for list_dependency_views: 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 list_dependency_views? +

list_dependency_views is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_dependency_views? +

Yes. Add a rate_limit block to the list_dependency_views 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 list_dependency_views completely? +

Set action: deny in the PolicyLayer policy for list_dependency_views. 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 list_dependency_views? +

list_dependency_views 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.

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

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