Low Risk

get_hed_examples

Get example HED tag strings for common experimental events. Returns examples of well-formed HED annotations for typical neuroscience experiments. Returns: Dictionary with example HED strings organized by category

Part of the Neuro server.

get_hed_examples 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 get_hed_examples 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 get_hed_examples 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": {
    "get_hed_examples": {}
  }
}

See the full Neuro policy for all 34 tools.

Get this rule live on your own Neuro server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_hed_examples 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 get_hed_examples 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 get_hed_examples tool do? +

Get example HED tag strings for common experimental events. Returns examples of well-formed HED annotations for typical neuroscience experiments. Returns: Dictionary with example HED strings organized by category. 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 get_hed_examples? +

Register the Neuro MCP server in PolicyLayer and add a rule for get_hed_examples: 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 get_hed_examples? +

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

Can I rate-limit get_hed_examples? +

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

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

get_hed_examples 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.

Enforce policy on every Neuro tool call.

Deterministic rules across all 34 Neuro tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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