Sample from an LLM with advanced model selection optimization
AI agents invoke sampleAdvanced to trigger actions in MCP Elicitations Demo Server. 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.
This tool executes an LLM inference/sampling operation, which triggers external computation and may consume resources or produce side effects depending on the model and inputs. It does not merely read static data but actively runs a process. Confidence is moderate because the description is brief and doesn't detail the full scope of side effects.
From the tool's definition 'Sample from an LLM with advanced model selection optimization' — triggers an LLM sampling operation with model selection logic
Attacks that exploit this kind of access
Sample from an LLM with advanced model selection optimization. It is categorised as a Execute tool in the MCP Elicitations Demo Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Elicitations Demo Server MCP server in PolicyLayer and add a rule for sampleAdvanced: 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 MCP Elicitations Demo Server. Nothing to install.
sampleAdvanced is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sampleAdvanced 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 sampleAdvanced. 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.
sampleAdvanced is provided by the MCP Elicitations Demo Server MCP server (soriat/soria-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →