# sf_create_einstein_prediction

Creates an Einstein Prediction Builder prediction definition (MLPredictionDefinition metadata type). Predictions analyze historical Salesforce data to score or classify records automatically. predictionType: - BinaryClassification: predict a yes/no outcome (e.g. Will this opportunity close? Is this lead likely to convert?) - Regression: predict a numeric value (e.g. Expected revenue, likelihood score) targetField: the field the prediction is based on (e.g.

Agent View of the PolicyLayer registry record for `sf_create_einstein_prediction`. HTML page: https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-einstein-prediction

## Facts

- Tool: `sf_create_einstein_prediction`
- Server: Salesforce Metadata Mcp (`salesforce-metadata-mcp`) — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp.md
- Install: `npx -y salesforce-metadata-mcp`
- Homepage: https://github.com/semwalajay83-sem/salesforce-metadata-mcp
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "sf_create_einstein_prediction",
    "arguments": {}
  }
}
```

## Why sf_create_einstein_prediction is rated Medium

This tool creates new metadata objects (prediction definitions) in Salesforce, which is a reversible write operation. It does not delete data, execute arbitrary code, or move money. While it sets up ML models that will process data, the tool itself only creates the definition—the actual model execution and scoring is a separate downstream operation.

From the tool's own definition: "Creates an Einstein Prediction Builder prediction definition (MLPredictionDefinition metadata type). Predictions analyze historical Salesforce data to score or classify records automatically."

## Use case

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

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Salesforce Metadata Mcp:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "sf_create_einstein_prediction": {
      "limits": [
        {
          "counter": "sf_create_einstein_prediction_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Salesforce Metadata Mcp (212)

- `sf_bulk_delete_records` — Destructive — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-bulk-delete-records.md
- `sf_delete_record` — Destructive — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-delete-record.md
- `sf_delete_scratch_org` — Destructive — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-delete-scratch-org.md
- `sf_activate_omniscript` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-activate-omniscript.md
- `sf_create_apex_class` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-apex-class.md
- `sf_create_apex_test_class` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-apex-test-class.md
- `sf_create_apex_trigger` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-apex-trigger.md
- `sf_create_flow` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-flow.md
- `sf_create_scheduled_job` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-scheduled-job.md
- `sf_create_scratch_org` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-scratch-org.md
- `sf_deactivate_flow` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-deactivate-flow.md
- `sf_deploy_metadata` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-deploy-metadata.md
- `sf_devops_promote_work_item` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-devops-promote-work-item.md
- `sf_execute_anonymous_apex` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-execute-anonymous-apex.md
- `sf_install_package` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-install-package.md
- `sf_promote_devops_work_item` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-promote-devops-work-item.md
- `sf_run_apex_tests` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-run-apex-tests.md
- `sf_send_email` — Execute — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-send-email.md
- `sf_check_code_coverage` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-check-code-coverage.md
- `sf_check_deploy_status` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-check-deploy-status.md
- `sf_check_devops_commit_status` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-check-devops-commit-status.md
- `sf_detect_devops_merge_conflict` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-detect-devops-merge-conflict.md
- `sf_explore_slds_blueprints` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-explore-slds-blueprints.md
- `sf_export_omnistudio_component` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-export-omnistudio-component.md
- `sf_export_records` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-export-records.md
- `sf_get_apex_test_results` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-get-apex-test-results.md
- `sf_get_dataraptor` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-get-dataraptor.md
- `sf_get_deployment_history` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-get-deployment-history.md
- `sf_get_event_logs` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-get-event-logs.md
- `sf_get_field_history` — Read — https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-get-field-history.md
- …and 182 more: https://policylayer.com/tools/io-github-semwalajay83-sem-salesforce-metadata-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-semwalajay83-sem-salesforce-metadata-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-semwalajay83-sem-salesforce-metadata-mcp
