This record as markdown: /tools/io-github-dreamrec-livepilot/analyze-outcomes.md
What analyze_outcomes does on Livepilot
AI agents call analyze_outcomes 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 analyze_outcomes is rated Low
Despite the empty description lowering confidence, the tool name and context of sibling analysis tools (analyze_composition, analyze_for_automation, analyze_harmony) indicate this is a Read operation that examines or reports on existing data within Ableton Live without side effects. No evidence of destructive, financial, or execute-class behavior.
From the tool's definition Tool name 'analyze_outcomes' with no description provided. Sibling tools are predominantly Read operations (analyze_*, add_* for music parameters). The 'analyze_' prefix strongly suggests data inspection/querying rather than modification or execution.
Attacks that exploit this kind of access
The rule that runs analyze_outcomes 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 analyze_outcomes, this is the rule to start with:
analyze_outcomes 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 analyze_outcomes call is checked against it from then on.
Questions about analyze_outcomes
analyze_outcomes 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 analyze_outcomes: 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.
analyze_outcomes 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 analyze_outcomes 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 analyze_outcomes. 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.
analyze_outcomes 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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