Retrieve all payload data (input, output, checkpoint, contract) for a task.
AI agents call get_task_payload_refs 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 queries and retrieves existing task payload information without any side effects. It does not create, modify, delete, or execute anything. The data retrieved (input, output, checkpoint, contract references) appears to be metadata about task state used for monitoring and inspection by orchestrators.
From the tool's definition Tool description: 'Retrieve all payload data (input, output, checkpoint, contract) for a task.' The verb 'retrieve' and the read-only nature of accessing payload data (no modification, deletion, or execution) clearly indicates a Read operation.
Attacks that exploit this kind of access
Retrieve all payload data (input, output, checkpoint, contract) for a task. 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_task_payload_refs: 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_task_payload_refs 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_task_payload_refs 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_task_payload_refs. 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_task_payload_refs 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.
Teams ship this data inside their own products. See what a licence covers →