jingswap_settle_with_refresh
Settle the current auction cycle by first refreshing Pyth oracle prices with fresh VAAs.
This record as markdown: /tools/io-github-aibtcdev-mcp-server/jingswap-settle-with-refresh.md
What jingswap_settle_with_refresh does on Aibtc
AI agents invoke jingswap_settle_with_refresh 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 jingswap_settle_with_refresh is rated High
This tool triggers an on-chain operation (settling an auction cycle) and updates oracle price feeds. While it involves financial-adjacent operations (auction settlement), it is primarily executing an external blockchain transaction rather than directly moving money or committing financial obligations.
From the tool's definition 'Settle the current auction cycle by first refreshing Pyth oracle prices with fresh VAAs'
Attacks that exploit this kind of access
The rule that runs jingswap_settle_with_refresh 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 jingswap_settle_with_refresh, this is the rule to start with:
jingswap_settle_with_refresh 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 jingswap_settle_with_refresh call is checked against it from then on.
Questions about jingswap_settle_with_refresh
Settle the current auction cycle by first refreshing Pyth oracle prices with fresh VAAs. 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 jingswap_settle_with_refresh: 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.
jingswap_settle_with_refresh 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 jingswap_settle_with_refresh 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 jingswap_settle_with_refresh. 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.
jingswap_settle_with_refresh 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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