Low Risk

check_upload_readiness

Check if a dataset meets BIDS compliance requirements. This tool validates dataset compliance with core BIDS standards. Use this to verify that your dataset is properly structured and complete. Args: paths: List of all file paths in the dataset (relative to BIDS dataset root, starting with '/') R...

Risk signalsBulk/mass operation — affects multiple targets · Admin/system-level operation

Part of the Neuro server.

check_upload_readiness is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call check_upload_readiness to retrieve information from Neuro without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though check_upload_readiness only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "check_upload_readiness": {}
  }
}

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These attack patterns abuse exactly the kind of access check_upload_readiness 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 check_upload_readiness only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the check_upload_readiness tool do? +

Check if a dataset meets BIDS compliance requirements. This tool validates dataset compliance with core BIDS standards. Use this to verify that your dataset is properly structured and complete. Args: paths: List of all file paths in the dataset (relative to BIDS dataset root, starting with '/') Returns: BIDS compliance report with validation checks Examples: - check_upload_readiness(['/dataset_description.json', '/participants.tsv', '/sub-01/anat/sub-01_T1w.nii.gz']). It is categorised as a Read tool in the Neuro MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on check_upload_readiness? +

Register the Neuro MCP server in PolicyLayer and add a rule for check_upload_readiness: 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 Neuro. Nothing to install.

What risk level is check_upload_readiness? +

check_upload_readiness is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit check_upload_readiness? +

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

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

check_upload_readiness is provided by the Neuro MCP server (@brain-bbqs/neuro-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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