This record as markdown: /tools/io-github-dreamrec-livepilot/detect-stuckness.md
What detect_stuckness does on Livepilot
AI agents call detect_stuckness 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 detect_stuckness is rated Low
Given the context of music production in Ableton Live and the pattern of sibling tools that analyze state (analyze_*), this tool most likely reads or detects a condition without modifying the session. The absence of action verbs (add, set, delete, execute) and the analytical naming convention point to Read category.
From the tool's definition Tool name 'detect_stuckness' suggests analysis/detection of a state (stuckness) in Ableton Live, consistent with sibling read-like tools (analyze_composition, analyze_harmony, analyze_for_automation). No description provided, limiting confidence.
Attacks that exploit this kind of access
The rule that runs detect_stuckness 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 detect_stuckness, this is the rule to start with:
detect_stuckness 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 detect_stuckness call is checked against it from then on.
Questions about detect_stuckness
detect_stuckness 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 detect_stuckness: 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.
detect_stuckness 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 detect_stuckness 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 detect_stuckness. 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.
detect_stuckness 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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