Update an existing milestone. due_date format: YYYY-MM-DD
AI agents use update_milestone to create or update resources in Git MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Git MCP Server environment.
This tool modifies project metadata (milestones) without deletion or financial impact. It can be reversed by updating the milestone again, placing it in Write category rather than Destructive. Severity is medium because incorrect updates could disrupt project planning timelines and confuse team coordination, but changes are not irreversible and don't directly impact production code or financial systems.
From the tool's definition update_milestone updates an existing milestone with ability to change due_date and other milestone properties, performing reversible modifications to project planning artifacts.
Documented attack patterns abuse exactly the kind of access update_milestone gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Git MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_milestone:
{
"version": "1",
"default": "deny",
"tools": {
"update_milestone": {
"limits": [
{
"counter": "update_milestone_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_milestone 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.
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Update an existing milestone. due_date format: YYYY-MM-DD. It is categorised as a Write tool in the Git MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Git MCP Server MCP server in PolicyLayer and add a rule for update_milestone: 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 Git MCP Server. Nothing to install.
update_milestone 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 update_milestone 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 update_milestone. 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.
update_milestone is provided by the Git MCP Server MCP server (yumeminami/git_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Git MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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33 Git MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.