create_agent_task

Create a long-running agent/background task for research, enrichment, auditing, or custom workflow automation.

SERVERStarfield SOURCE@adrata/starfield-mcp

Medium RISK CLASS

Category Write

Parameters 41 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/adrata-starfield-mcp/create-agent-task.md

WHAT IT DOES

What create_agent_task does on Starfield

AI agents use create_agent_task to create or update resources in Starfield, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Starfield environment.

Parameter	Type	Required	Description
`type`	string	Yes	Task type such as account_research, lead_enrichment, sequence_optimization, pipeline_review, or custom
`title`	string	—
`config`	object	—
`description`	string	—

Parameters from the server's own tool schema.

RISK

Why create_agent_task is rated Medium

An AI agent can call create_agent_task faster than any human can review: one bad instruction and it creates or modifies resources in Starfield by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_agent_task safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Starfield, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_agent_task, this is the rule to start with:

create_agent_task Rate-limited

create_agent_task stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_agent_task": {
      "limits": [
        {
          "counter": "create_agent_task_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Starfield, apply this rule, and every create_agent_task call is checked against it from then on.

FAQ

Questions about create_agent_task

What does the create_agent_task tool do? +

Create a long-running agent/background task for research, enrichment, auditing, or custom workflow automation. It is categorised as a Write tool in the Starfield MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_agent_task accept? +

create_agent_task accepts 4 parameters: type, title, config, description. Required: type. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_agent_task? +

Register the Starfield MCP server in PolicyLayer and add a rule for create_agent_task: 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 Starfield. Nothing to install.

What risk level is create_agent_task? +

create_agent_task is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_agent_task? +

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

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

create_agent_task is provided by the Starfield MCP server (@adrata/starfield-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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