Medium Risk

jingswap_settle_with_refresh

Settle the current auction cycle by first refreshing Pyth oracle prices with fresh VAAs. This is the recommended settlement method — stored prices are almost always stale. Costs ~2 µSTX for the Pyth update. Automatically fetches fresh VAAs from the backend. Settlement distributes funds to all dep...

Part of the Aibtc MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@aibtc/mcp-server Write Risk 2/5

AI agents use jingswap_settle_with_refresh to create or modify resources in Aibtc. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call jingswap_settle_with_refresh repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Aibtc.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

io-github-aibtcdev-mcp-server.yaml
tools:
  jingswap_settle_with_refresh:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Aibtc policy for all 288 tools.

Tool Name jingswap_settle_with_refresh
Category Write
MCP Server Aibtc MCP Server
Risk Level Medium

View all 288 tools →

What does the jingswap_settle_with_refresh tool do? +

Settle the current auction cycle by first refreshing Pyth oracle prices with fresh VAAs. This is the recommended settlement method — stored prices are almost always stale. Costs ~2 µSTX for the Pyth update. Automatically fetches fresh VAAs from the backend. Settlement distributes funds to all depositors so post conditions are in Allow mode. There is no guarantee settlement succeeds (e.g. if oracle update fails), but this is the most reliable path. Only works after deposits have been closed (buffer/settle phase).. It is categorised as a Write tool in the Aibtc MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on jingswap_settle_with_refresh? +

Add a rule in your Intercept YAML policy under the tools section for jingswap_settle_with_refresh. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Aibtc MCP server.

What risk level is jingswap_settle_with_refresh? +

jingswap_settle_with_refresh is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit jingswap_settle_with_refresh? +

Yes. Add a rate_limit block to the jingswap_settle_with_refresh rule in your Intercept 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.

How do I block jingswap_settle_with_refresh completely? +

Set action: deny in the Intercept 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.

What MCP server provides jingswap_settle_with_refresh? +

jingswap_settle_with_refresh is provided by the Aibtc MCP server (@aibtc/mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Aibtc

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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