create_file
AI agents use create_file to create or update resources in Kepler MCP GitLab Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kepler MCP GitLab Server environment.
This tool creates new files in a GitLab repository, which is a data modification that can be undone by deletion. It is classified as Write rather than Execute because it does not run code or trigger external operations—it simply creates file content. The severity is medium because misuse could pollute repositories or introduce unwanted content, but the effect is reversible.
From the tool's definition Tool name 'create_file' indicates file creation. The server description confirms this MCP server enables AI assistants to 'manage...files...across GitLab instances.' Creating files is a reversible write operation.
Attacks that exploit this kind of access
create_file. It is categorised as a Write tool in the Kepler MCP GitLab Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kepler MCP GitLab Server MCP server in PolicyLayer and add a rule for create_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 Kepler MCP GitLab Server. Nothing to install.
create_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 create_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 create_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.
create_file is provided by the Kepler MCP GitLab Server MCP server (ryan-rbw/kepler-mcp-gitlab-server). 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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