create_prediction

Create model prediction

SERVERNcp SOURCE@portel/ncp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-portel-dev-ncp/create-prediction.md

WHAT IT DOES

What create_prediction does on Ncp

AI agents invoke create_prediction to trigger actions in Ncp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why create_prediction is rated High

Creating a prediction involves running a model (compute/execution side effect) rather than simply reading stored data or writing a static record. It triggers external computation whose outputs depend on the input arguments. No irreversible data destruction or financial transaction is implied, making Execute the most appropriate category.

From the tool's definition 'Create model prediction' — triggers execution of a machine learning model inference pipeline against input data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_prediction safely

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

create_prediction Rate-limited

create_prediction stays usable, but rate-capped: a runaway agent can't fire it dozens of times 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_prediction": {
      "limits": [
        {
          "counter": "create_prediction_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about create_prediction

What does the create_prediction tool do? +

Create model prediction. It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on create_prediction? +

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

What risk level is create_prediction? +

create_prediction is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit create_prediction? +

Yes. Add a rate_limit block to the create_prediction 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_prediction completely? +

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

create_prediction is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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