This record as markdown: /tools/io-github-2s-io-mcp/lock.release.md
What lock.release does on Mcp
AI agents use lock.release to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.
Why lock.release is rated Medium
Releasing a lock is a state-modification operation (Write), as it changes the lock status from held to released. While it involves a wallet (suggesting financial context), the action itself is managing a lock object rather than moving funds or committing financial obligations.
From the tool's definition 'release a lock you hold, scoped to YOUR wallet' — releases/modifies a lock state, a reversible write operation on lock state tied to a wallet
Attacks that exploit this kind of access
The rule that runs lock.release safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For lock.release, this is the rule to start with:
lock.release stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every lock.release call is checked against it from then on.
Questions about lock.release
LOCK: release a lock you hold, scoped to YOUR wallet. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP server in PolicyLayer and add a rule for lock.release: 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 Mcp. Nothing to install.
lock.release is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the lock.release 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 lock.release. 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.
lock.release is provided by the MCP server (@2sio/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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