Return all DAG edges for a run.
AI agents call get_dag_edges to retrieve information from Dag Planner without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about DAG structure (edges/dependencies) without side effects. It is a pure read operation that fetches data to understand task dependencies. No data is modified, deleted, or executed.
From the tool's definition Tool name 'get_dag_edges' and description 'Return all DAG edges for a run' indicate a retrieval operation with no modification, deletion, or execution of tasks. It queries the structure of a directed acyclic graph.
Attacks that exploit this kind of access
Return all DAG edges for a run. It is categorised as a Read tool in the Dag Planner MCP Server, which means it retrieves data without modifying state.
Register the Dag Planner MCP server in PolicyLayer and add a rule for get_dag_edges: 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 Dag Planner. Nothing to install.
get_dag_edges 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 get_dag_edges 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 get_dag_edges. 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.
get_dag_edges is provided by the Dag Planner MCP server (shubhamnegi/dag-planner-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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