yield_hunter_stop
Stop autonomous yield hunting. Stops the background process that monitors and deposits sBTC. Your existing Zest positions remain untouched.
This record as markdown: /tools/io-github-aibtcdev-mcp-server/yield-hunter-stop.md
What yield_hunter_stop does on Aibtc
AI agents invoke yield_hunter_stop to trigger actions in Aibtc. 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.
Why yield_hunter_stop is rated High
This tool executes a command to stop a background process, which is an Execute-category action rather than merely Read (no querying), Write (no data creation/modification), or Destructive (the process can be restarted). The severity is medium because stopping a background process has limited blast radius—it pauses operations but doesn't delete data or cause irreversible harm.
From the tool's definition Tool description states it "Stop[s] autonomous yield hunting" and "stops the background process that monitors and deposits sBTC." This directly triggers external operations (process termination, halting deposits) whose effects depend on system state.
Attacks that exploit this kind of access
The rule that runs yield_hunter_stop safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aibtc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For yield_hunter_stop, this is the rule to start with:
yield_hunter_stop stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Aibtc, apply this rule, and every yield_hunter_stop call is checked against it from then on.
Questions about yield_hunter_stop
Stop autonomous yield hunting. Stops the background process that monitors and deposits sBTC. Your existing Zest positions remain untouched. It is categorised as a Execute tool in the Aibtc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Aibtc MCP server in PolicyLayer and add a rule for yield_hunter_stop: 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 Aibtc. Nothing to install.
yield_hunter_stop 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 yield_hunter_stop 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 yield_hunter_stop. 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.
yield_hunter_stop is provided by the Aibtc MCP server (aibtcdev/aibtc-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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