Analyze a dependency planning view and return topological layers, ready tasks, blocked tasks, roots, leaves, and isolated tasks.
AI agents call analyze_dependency_view 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.
This tool retrieves and analyzes existing dependency graph information to provide insights about task status and relationships. It performs no write, delete, execute, or financial operations. The returned analysis is purely informational and read-only, with no side effects on the project or task state.
From the tool's definition The tool 'analyze_dependency_view' performs analysis and returns computed data (topological layers, ready tasks, blocked tasks, roots, leaves, isolated tasks) with no modification of underlying data or external effects.
Documented attack patterns abuse exactly the kind of access analyze_dependency_view 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 analyze_dependency_view:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_dependency_view": {}
}
}analyze_dependency_view is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze a dependency planning view and return topological layers, ready tasks, blocked tasks, roots, leaves, and isolated tasks. It is categorised as a Read tool in the Roadmap Skill MCP Server, which means it retrieves data without modifying state.
Register the Roadmap Skill MCP server in PolicyLayer and add a rule for analyze_dependency_view: 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.
analyze_dependency_view is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the analyze_dependency_view 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.
Set action: deny in the PolicyLayer policy for analyze_dependency_view. 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.
analyze_dependency_view 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.
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.