paper_create_task

Create a Paper task/action. Live writes require dryRun:false, approved:true, reason, and idempotencyKey.

SERVERStarfield SOURCE@adrata/starfield-mcp

Medium RISK CLASS

Category Write

Parameters 51 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What paper_create_task does on Starfield

AI agents use paper_create_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
`title`	string	Yes
`dryRun`	boolean	—	Defaults to true. Set false only after explicit user approval.
`reason`	string	—	Audit reason for live writes.
`approved`	boolean	—	Must be true for live writes.
`idempotencyKey`	string	—	Required for live writes.

Parameters from the server's own tool schema.

RISK

Why paper_create_task is rated Medium

An AI agent can call paper_create_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 paper_create_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 paper_create_task, this is the rule to start with:

paper_create_task Rate-limited

paper_create_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": {
    "paper_create_task": {
      "limits": [
        {
          "counter": "paper_create_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 paper_create_task call is checked against it from then on.

FAQ

Questions about paper_create_task

What does the paper_create_task tool do? +

Create a Paper task/action. Live writes require dryRun:false, approved:true, reason, and idempotencyKey. 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 paper_create_task accept? +

paper_create_task accepts 5 parameters: title, dryRun, reason, approved, idempotencyKey. Required: title. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on paper_create_task? +

Register the Starfield MCP server in PolicyLayer and add a rule for paper_create_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 paper_create_task? +

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

Can I rate-limit paper_create_task? +

Yes. Add a rate_limit block to the paper_create_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 paper_create_task completely? +

Set action: deny in the PolicyLayer policy for paper_create_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 paper_create_task? +

paper_create_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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