Return current DSPy optimization status and scheduling details.
AI agents call get_dspy_optimization_status to retrieve information from Graph Rag Obsidian without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns optimization status and scheduling metadata. The 'Return' verb and 'status' information indicate a read-only operation that retrieves existing data without creating, modifying, deleting, or executing any external operations. The context of a Graph-RAG system using DSPy suggests this monitors internal optimization processes rather than executing them.
From the tool's definition Tool name contains 'get_' and description states 'Return current DSPy optimization status and scheduling details' — indicates retrieval of status information with no modification or side effects.
Attacks that exploit this kind of access
Return current DSPy optimization status and scheduling details. It is categorised as a Read tool in the Graph Rag Obsidian MCP Server, which means it retrieves data without modifying state.
Register the Graph Rag Obsidian MCP server in PolicyLayer and add a rule for get_dspy_optimization_status: 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.
get_dspy_optimization_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_dspy_optimization_status 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.
Set action: deny in the PolicyLayer policy for get_dspy_optimization_status. 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.
get_dspy_optimization_status 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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