apply_performance_tuning · SQLite Project Memory MCP

WHAT IT DOES

What apply_performance_tuning does on SQLite Project Memory MCP

AI agents invoke apply_performance_tuning to trigger actions in SQLite Project Memory MCP. 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.

WHY IT NEEDS A POLICY

Why apply_performance_tuning needs a policy

This tool modifies SQLite runtime settings (e.g., PRAGMA statements, cache sizes, WAL mode, synchronous settings). It executes configuration changes on the database engine rather than simply reading or writing data records. While not destructive in the traditional sense, misapplication could degrade performance or data integrity.

From the tool's definition 'Tune SQLite settings for throughput during heavy project-memory workloads' — modifies database engine configuration/settings at runtime

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

apply_performance_tuning Rate-limited

apply_performance_tuning 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": {
    "apply_performance_tuning": {
      "limits": [
        {
          "counter": "apply_performance_tuning_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about apply_performance_tuning

What does the apply_performance_tuning tool do? +

Tune SQLite settings for throughput during heavy project-memory workloads. It is categorised as a Execute tool in the SQLite Project Memory MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on apply_performance_tuning? +

Register the SQLite Project Memory MCP server in PolicyLayer and add a rule for apply_performance_tuning: 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 SQLite Project Memory MCP. Nothing to install.

What risk level is apply_performance_tuning? +

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

Can I rate-limit apply_performance_tuning? +

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

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

apply_performance_tuning is provided by the SQLite Project Memory MCP server (webrtcgame/sqlite-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.