force_dspy_optimization · Graph Rag Obsidian MCP

WHAT IT DOES

What force_dspy_optimization does on Graph Rag Obsidian

AI agents invoke force_dspy_optimization to trigger actions in Graph Rag Obsidian. 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 force_dspy_optimization needs a policy

This tool triggers an optimization process (DSPy is a framework for optimizing LLM pipelines). 'Force' and 'run' indicate it executes an external operation. The effects depend on the current state of the system and available data, making it Execute. It's not purely destructive or financial, but it does trigger a potentially expensive or side-effectful computation process.

From the tool's definition Force a DSPy optimization run if available and not already running

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

force_dspy_optimization Rate-limited

force_dspy_optimization 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": {
    "force_dspy_optimization": {
      "limits": [
        {
          "counter": "force_dspy_optimization_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 Graph Rag Obsidian, so you can run agents against it safely.

FAQ

Questions about force_dspy_optimization

What does the force_dspy_optimization tool do? +

Force a DSPy optimization run if available and not already running. It is categorised as a Execute tool in the Graph Rag Obsidian MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on force_dspy_optimization? +

Register the Graph Rag Obsidian MCP server in PolicyLayer and add a rule for force_dspy_optimization: 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 Graph Rag Obsidian. Nothing to install.

What risk level is force_dspy_optimization? +

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

Can I rate-limit force_dspy_optimization? +

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

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

force_dspy_optimization is provided by the Graph Rag Obsidian MCP server (nickshffer/graph-rag-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.