update_predictions · Semantic Context MCP: Risk & Policy

WHAT IT DOES

What update_predictions does on Semantic Context MCP

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

WHY IT NEEDS A POLICY

Why update_predictions needs a policy

This tool creates or modifies prediction score data for a project, which is a reversible change. It does not execute arbitrary code, delete data irreversibly, or move financial resources. The impact is contained to updating metrics/scores within the semantic context system.

From the tool's definition Tool name 'update_predictions' combined with description 'Refresh prediction scores for a project' indicates modification of data. The verb 'update' and 'refresh' are typical Write operations that modify existing records.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_predictions Rate-limited

update_predictions 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": {
    "update_predictions": {
      "limits": [
        {
          "counter": "update_predictions_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Semantic Context MCP, so you can run agents against it safely.

FAQ

Questions about update_predictions

What does the update_predictions tool do? +

Refresh prediction scores for a project. It is categorised as a Write tool in the Semantic Context MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_predictions? +

Register the Semantic Context MCP server in PolicyLayer and add a rule for update_predictions: 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 Semantic Context MCP. Nothing to install.

What risk level is update_predictions? +

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

Can I rate-limit update_predictions? +

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

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

update_predictions is provided by the Semantic Context MCP server (semanticintent/semantic-wake-intelligence-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.