file_storage

Read or write persistent file storage across sessions (KV-backed).

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-scotia1973-bot-api-hub/file-storage.md

WHAT IT DOES

What file_storage does on GadgetHumans API Hub

AI agents use file_storage to create or update resources in GadgetHumans API Hub, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GadgetHumans API Hub environment.

RISK

Why file_storage is rated Medium

While the tool supports both read and write operations, the write capability to persistent storage is the dominant concern. This is categorized as Write rather than Read because persistence across sessions means modifications are irreversible in practical terms without additional deletion tools. It is not Destructive because the description does not indicate deletion/purging capability.

From the tool's definition Tool description explicitly states 'Read or write persistent file storage across sessions (KV-backed).' The 'write' capability combined with 'persistent' storage that spans sessions indicates the tool modifies data that persists beyond a single interaction.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs file_storage safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For file_storage, this is the rule to start with:

file_storage Rate-limited

file_storage 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "file_storage": {
      "limits": [
        {
          "counter": "file_storage_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every file_storage call is checked against it from then on.

FAQ

Questions about file_storage

What does the file_storage tool do? +

Read or write persistent file storage across sessions (KV-backed). It is categorised as a Write tool in the GadgetHumans API Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on file_storage? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for file_storage: 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 GadgetHumans API Hub. Nothing to install.

What risk level is file_storage? +

file_storage is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit file_storage? +

Yes. Add a rate_limit block to the file_storage 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.

How do I block file_storage completely? +

Set action: deny in the PolicyLayer policy for file_storage. 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.

What MCP server provides file_storage? +

file_storage is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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