AI agents invoke hg_update to trigger actions in Mercurial. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
hg update changes the working directory state by switching to a different revision, branch, or topic. This is an Execute-level operation because it triggers an external VCS operation that modifies the working directory state (checking out files, updating tracked state).
From the tool's definition Updates to a different topic, branch, or revision
Attacks that exploit this kind of access
Updates to a different topic, branch, or revision. It is categorised as a Execute tool in the Mercurial MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mercurial MCP server in PolicyLayer and add a rule for hg_update: 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 Mercurial. Nothing to install.
hg_update is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the hg_update 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 hg_update. 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.
hg_update is provided by the Mercurial MCP server (metal-shark-sharktech/mcp-server-mercurial). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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