Queue a file write for batch commit. Writes are held in server memory and flushed together when flush_queue is called. Queue resets if the server restarts.
AI agents use queue_write to create or update resources in Gitbridge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gitbridge environment.
This tool is categorized as Write because it creates or modifies data reversibly. While it queues changes rather than immediately committing them, the intent and effect are to write/modify files in a repository.
From the tool's definition Tool name 'queue_write' and description explicitly state it 'Queue a file write for batch commit' and 'Writes are held in server memory'.
Documented attack patterns abuse exactly the kind of access queue_write gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gitbridge, and nothing reaches the server without passing your rules. This is the rule we recommend for queue_write:
{
"version": "1",
"default": "deny",
"tools": {
"queue_write": {
"limits": [
{
"counter": "queue_write_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}queue_write 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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Queue a file write for batch commit. Writes are held in server memory and flushed together when flush_queue is called. Queue resets if the server restarts. It is categorised as a Write tool in the Gitbridge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gitbridge MCP server in PolicyLayer and add a rule for queue_write: 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 Gitbridge. Nothing to install.
queue_write 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 queue_write 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 queue_write. 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.
queue_write is provided by the Gitbridge MCP server (iotus/gitbridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gitbridge, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 Gitbridge tools catalogued and risk-classified — across an index of 43,000+ MCP servers.