earning_opportunities
List the ways an agent can put its assets to work through this MCP — a static
This record as markdown: /tools/io-github-aibtcdev-mcp-server/earning-opportunities.md
What earning_opportunities does on Aibtc
AI agents call earning_opportunities to retrieve information from Aibtc without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why earning_opportunities is rated Low
This is a read-only operation that lists or retrieves static information about earning opportunities. There are no side effects, state changes, code execution, or financial transactions triggered by calling this tool itself—it merely surfaces available options for the user to review. The description is incomplete ('a static' is cut off), but the intent is clearly informational/enumerative rather than operational.
From the tool's definition Tool name 'earning_opportunities' and description 'List the ways an agent can put its assets to work through this MCP — a static' indicate a retrieval operation that returns information about available earning/investment opportunities.
Attacks that exploit this kind of access
The rule that runs earning_opportunities 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 earning_opportunities, this is the rule to start with:
earning_opportunities 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 Aibtc, apply this rule, and every earning_opportunities call is checked against it from then on.
Questions about earning_opportunities
List the ways an agent can put its assets to work through this MCP — a static. It is categorised as a Read tool in the Aibtc MCP Server, which means it retrieves data without modifying state.
Register the Aibtc MCP server in PolicyLayer and add a rule for earning_opportunities: 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.
earning_opportunities 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 earning_opportunities 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 earning_opportunities. 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.
earning_opportunities 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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