ask_context

Ask against saved NodeBench context first. This searches session memory and the accumulated knowledge base so repeated setup and rediscovery costs stop compounding.

SERVERNodebench SOURCEnodebench-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-homenshum-nodebench/ask-context.md

WHAT IT DOES

What ask_context does on Nodebench

AI agents call ask_context to retrieve information from Nodebench without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why ask_context is rated Low

This tool performs a read-only query operation against stored context and memory. It retrieves information to reduce redundant setup costs, but does not create, modify, execute, delete, or move any data. It is a simple lookup/search function, making it a Read category tool with low severity risk.

From the tool's definition Tool description explicitly states it "searches session memory and the accumulated knowledge base". The verb "searches" and the action of querying saved context indicates data retrieval with no modification or execution side effects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ask_context safely

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

ask_context Allowed

ask_context is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ask_context": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about ask_context

What does the ask_context tool do? +

Ask against saved NodeBench context first. This searches session memory and the accumulated knowledge base so repeated setup and rediscovery costs stop compounding. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ask_context? +

Register the Nodebench MCP server in PolicyLayer and add a rule for ask_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 Nodebench. Nothing to install.

What risk level is ask_context? +

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

Can I rate-limit ask_context? +

Yes. Add a rate_limit block to the ask_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 ask_context completely? +

Set action: deny in the PolicyLayer policy for ask_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 ask_context? +

ask_context is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Nodebench, and thousands of servers like it.

This server

All 824 Nodebench tools →

Across the catalogue

ask_about_cocktail on Cocktails RAG MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →