Create or update a single file in a GitHub repository
AI agents use write_file 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 creates or modifies files in a repository, which is a reversible Write operation. While it could potentially corrupt code or introduce bugs if misused by an agent, the changes are not irreversible (files can be edited again or reverted via version control), so it does not rise to Destructive severity.
From the tool's definition Tool description explicitly states 'Create or update a single file in a GitHub repository'. The verb 'create or update' is characteristic of Write operations. The sibling tool 'delete_file' exists separately, confirming this tool is reversible modification.
Documented attack patterns abuse exactly the kind of access write_file 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 write_file:
{
"version": "1",
"default": "deny",
"tools": {
"write_file": {
"limits": [
{
"counter": "write_file_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} write_file 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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Create or update a single file in a GitHub repository. 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 write_file: 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.
write_file 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 write_file 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 write_file. 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.
write_file 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.
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16 Gitbridge tools catalogued and risk-classified — across an index of 43,000+ MCP servers.