Low Risk

get_question_context

Retrieve detailed context, guidance, and examples for specific NIST CSF assessment questions with sector and size-specific recommendations

How to control get_question_context ↓

AI agents call get_question_context to retrieve information from NIST CSF 2 0 Assessment Platform without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves informational content (context, guidance, examples) related to NIST CSF assessment questions. It performs a read-only query operation with no capability to modify data, execute code, delete resources, or trigger external operations. The worst-case misuse would be information disclosure or spam queries, both low-impact.

From the tool's definition Tool name 'get_question_context' and description 'Retrieve detailed context, guidance, and examples' — uses retrieve/get pattern indicating data retrieval without modification or side effects.

Documented attack patterns abuse exactly the kind of access get_question_context gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and NIST CSF 2 0 Assessment Platform, and nothing reaches the server without passing your rules. This is the rule we recommend for get_question_context:

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

get_question_context is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register NIST CSF 2 0 Assessment Platform — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the get_question_context tool do? +

Retrieve detailed context, guidance, and examples for specific NIST CSF assessment questions with sector and size-specific recommendations. It is categorised as a Read tool in the NIST CSF 2 0 Assessment Platform MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_question_context? +

Register the NIST CSF 2 0 Assessment Platform MCP server in PolicyLayer and add a rule for get_question_context: 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 NIST CSF 2 0 Assessment Platform. Nothing to install.

What risk level is get_question_context? +

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

Can I rate-limit get_question_context? +

Yes. Add a rate_limit block to the get_question_context 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_question_context completely? +

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

get_question_context is provided by the NIST CSF 2 0 Assessment Platform MCP server (rocklambros/nist-csf-2-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every NIST CSF 2 0 Assessment Platform tool call.

Deterministic rules across all 49 NIST CSF 2 0 Assessment Platform tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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49 NIST CSF 2 0 Assessment Platform tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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