tool_with_context

THE RISK

Low Risk

Why tool_with_context needs a policy

With no description and only a generic name that provides no clear indication of what the tool does, it is impossible to determine its category with confidence. Defaulting to 'Other' with very low confidence. The name 'tool_with_context' suggests it may wrap another tool with additional context, but without more information this is speculative.

From the tool's definition Tool name is 'tool_with_context' and description is empty — no functional information available.

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

POLICY

How to control tool_with_context

PolicyLayer is an MCP gateway — it sits between your AI agents and PullNexus, and nothing reaches the server without passing your rules. This is the rule we recommend for tool_with_context:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "tool_with_context": {
      "limits": [
        {
          "counter": "tool_with_context_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

tool_with_context gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register PullNexus — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about tool_with_context

What does the tool_with_context tool do? +

tool_with_context. It is categorised as a Other tool in the PullNexus MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on tool_with_context? +

Register the PullNexus MCP server in PolicyLayer and add a rule for tool_with_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 PullNexus. Nothing to install.

What risk level is tool_with_context? +

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

Can I rate-limit tool_with_context? +

Yes. Add a rate_limit block to the tool_with_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 tool_with_context completely? +

Set action: deny in the PolicyLayer policy for tool_with_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 tool_with_context? +

tool_with_context is provided by the PullNexus MCP server (mrwillist/pullnexus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every PullNexus tool call.

Start from PullNexus, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →