validate_task_output

Validate a task's output against its JSON Schema contract.

Server Dag Planner shubhamnegi/dag-planner-mcp
Category Read
Risk class Low
Parameters 00 required

What validate_task_output does on Dag Planner

AI agents call validate_task_output 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.

Why validate_task_output needs a policy

This tool retrieves and validates existing task output data without creating, modifying, deleting, executing code, or moving money. It is purely a query/inspection operation that compares output against a schema. No state changes or external operations are triggered.

From the tool's definition Tool description states it 'Validate[s] a task's output against its JSON Schema contract' — a read-only inspection and validation operation with no side effects or modifications.

Questions about validate_task_output

What does the validate_task_output tool do? +

Validate a task's output against its JSON Schema contract. It is categorised as a Read tool in the Dag Planner MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_task_output? +

Register the Dag Planner MCP server in PolicyLayer and add a rule for validate_task_output: 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.

What risk level is validate_task_output? +

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

Can I rate-limit validate_task_output? +

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

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

validate_task_output 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.

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