save_context · Semantic Context MCP: Risk & Policy

WHAT IT DOES

What save_context does on Semantic Context MCP

AI agents use save_context 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 save_context needs a policy

This tool creates or modifies conversation context records in persistent storage. While not destructive (data can be overwritten), not directly executing external code, and not involving financial transactions, it is a Write operation as it stores and potentially updates conversation data.

From the tool's definition Tool name 'save_context' and description 'Save conversation context with AI enhancement' indicate the tool creates or modifies stored conversation data. The verb 'save' and the purpose of storing context clearly indicates a write operation that persists data.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

save_context Rate-limited

save_context 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": {
    "save_context": {
      "limits": [
        {
          "counter": "save_context_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 save_context

What does the save_context tool do? +

Save conversation context with AI enhancement. 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 save_context? +

Register the Semantic Context MCP server in PolicyLayer and add a rule for save_context: 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 save_context? +

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

Can I rate-limit save_context? +

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

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

save_context 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.