extend_stacking
Extend an existing stacking lock period.
This record as markdown: /tools/io-github-aibtcdev-mcp-server/extend-stacking.md
What extend_stacking does on Aibtc
AI agents use extend_stacking to commit financial operations through Aibtc, usually the final step of a payment, billing, or trading workflow. A call moves real money.
Why extend_stacking is rated Critical
Stacking in the Stacks blockchain context involves locking STX tokens to earn Bitcoin rewards. Extending a stacking lock period modifies the duration for which cryptocurrency assets are locked/committed, which constitutes a financial obligation — the user's tokens remain locked and unavailable for a longer period. This is a financial action as it affects cryptocurrency asset management and lock-up commitments.
From the tool's definition Extend an existing stacking lock period
Attacks that exploit this kind of access
The rule that runs extend_stacking 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 extend_stacking, this is the rule to start with:
Any call to extend_stacking is blocked until a human approves it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Aibtc, apply this rule, and every extend_stacking call is checked against it from then on.
Questions about extend_stacking
Extend an existing stacking lock period. It is categorised as a Financial tool in the Aibtc MCP Server, which means it involves financial transactions. Block by default and require explicit approval.
Register the Aibtc MCP server in PolicyLayer and add a rule for extend_stacking: 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.
extend_stacking is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the extend_stacking 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 extend_stacking. 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.
extend_stacking 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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