This record as markdown: /tools/io-github-dreamrec-livepilot/evaluate-sample-fit.md
What evaluate_sample_fit does on Livepilot
AI agents call evaluate_sample_fit to retrieve information from Livepilot without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why evaluate_sample_fit is rated Low
The name indicates an evaluation or assessment function rather than creation, modification, or deletion of data. In a music production context, 'fit' evaluation typically means analyzing compatibility or suitability. However, confidence is reduced to 0.6 because the description is empty, leaving some ambiguity about whether the tool might perform side effects like flagging samples or modifying project state.
From the tool's definition Tool name 'evaluate_sample_fit' suggests querying or analyzing a sample's suitability within a composition, with no direct modification implied.
Attacks that exploit this kind of access
The rule that runs evaluate_sample_fit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Livepilot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For evaluate_sample_fit, this is the rule to start with:
evaluate_sample_fit is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Livepilot, apply this rule, and every evaluate_sample_fit call is checked against it from then on.
Questions about evaluate_sample_fit
evaluate_sample_fit is a read tool on the Livepilot MCP server. It is categorised as a Read tool in the Livepilot MCP Server, which means it retrieves data without modifying state.
Register the Livepilot MCP server in PolicyLayer and add a rule for evaluate_sample_fit: 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 Livepilot. Nothing to install.
evaluate_sample_fit 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 evaluate_sample_fit 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 evaluate_sample_fit. 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.
evaluate_sample_fit is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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