Medium Risk

rates_yields

US interest rates and bond yields: Treasury yield curve (3M/1Y/2Y/5Y/10Y/30Y), Federal funds rate and target bands, SOFR, mortgage rates, credit spreads, 10Y-2Y spread (recession indicator), breakeven inflation. Data from FRED (Federal Reserve). Set FRED_API_KEY for higher rate limits.

Part of the Bitget server.

rates_yields can modify Bitget data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use rates_yields to create or modify resources in Bitget. 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 rates_yields repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Bitget.

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "rates_yields": {
      "limits": [
        {
          "counter": "rates_yields_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access rates_yields gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so rates_yields only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the rates_yields tool do? +

US interest rates and bond yields: Treasury yield curve (3M/1Y/2Y/5Y/10Y/30Y), Federal funds rate and target bands, SOFR, mortgage rates, credit spreads, 10Y-2Y spread (recession indicator), breakeven inflation. Data from FRED (Federal Reserve). Set FRED_API_KEY for higher rate limits.. It is categorised as a Write tool in the Bitget MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on rates_yields? +

Register the Bitget MCP server in PolicyLayer and add a rule for rates_yields: 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 Bitget. Nothing to install.

What risk level is rates_yields? +

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

Can I rate-limit rates_yields? +

Yes. Add a rate_limit block to the rates_yields 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.

How do I block rates_yields completely? +

Set action: deny in the PolicyLayer policy for rates_yields. 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 rates_yields? +

rates_yields is provided by the Bitget MCP server (bitget-ai/bitget-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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