AI agents use upload_file to create or update resources in Gpal — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gpal environment.
The 'upload_file' function performs a reversible write operation—creating or modifying files. While the empty description limits certainty, the name and server context (autonomous codebase exploration with file_store operations) suggest this creates or stages files for analysis. This is reversible (files can be deleted), so it's Write rather than Destructive.
From the tool's definition Tool named 'upload_file' with no description provided. The name indicates file creation/modification capability. In the context of the gpal server (Google Gemini with codebase exploration), uploading files would create or modify data in a file store.
Documented attack patterns abuse exactly the kind of access upload_file gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gpal, and nothing reaches the server without passing your rules. This is the rule we recommend for upload_file:
{
"version": "1",
"default": "deny",
"tools": {
"upload_file": {
"limits": [
{
"counter": "upload_file_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}upload_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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upload_file. It is categorised as a Write tool in the Gpal MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gpal MCP server in PolicyLayer and add a rule for upload_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 Gpal. Nothing to install.
upload_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 upload_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 upload_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.
upload_file is provided by the Gpal MCP server (tobert/gpal). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gpal, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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19 Gpal tools catalogued and risk-classified — across an index of 43,000+ MCP servers.