Medium Risk

upload_store_image

upload_store_image

Part of the Pypi:google Play server.

upload_store_image can modify Pypi:google Play data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use upload_store_image to create or modify resources in Pypi:google Play. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call upload_store_image repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Pypi:google Play.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "upload_store_image": {
      "limits": [
        {
          "counter": "upload_store_image_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Pypi:google Play policy for all 18 tools.

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View all 18 tools →

These attack patterns abuse exactly the kind of access upload_store_image gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so upload_store_image only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the upload_store_image tool do? +

upload_store_image. It is categorised as a Write tool in the Pypi:google Play MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on upload_store_image? +

Register the Pypi:google Play MCP server in PolicyLayer and add a rule for upload_store_image: 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 Pypi:google Play. Nothing to install.

What risk level is upload_store_image? +

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

Can I rate-limit upload_store_image? +

Yes. Add a rate_limit block to the upload_store_image 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 upload_store_image completely? +

Set action: deny in the PolicyLayer policy for upload_store_image. 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 upload_store_image? +

upload_store_image is provided by the Pypi:google Play MCP server (pypi:google-play-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pypi:google Play tool call.

Deterministic rules across all 18 Pypi:google Play tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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