Low Risk

cortex_code_context

Get a 360° view of a code symbol: its methods, callers, callees, and related execution flows. Essential for exploring class hierarchies and understanding how a symbol is used across the codebase.

How to control cortex_code_context ↓

What cortex_code_context does on Cortex Hub

AI agents call cortex_code_context to retrieve information from Cortex Hub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why cortex_code_context needs a policy

This tool retrieves and queries metadata about code symbols and their relationships within the codebase. It provides visibility into code structure and dependencies without modifying, executing, or destroying any data. The read-only nature and informational purpose place it firmly in the Read category with low risk severity.

From the tool's definition The description explicitly states 'Get a 360° view' and lists read-only operations: 'methods, callers, callees, and related execution flows' with 'exploring' and 'understanding' as intended use.

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

How to control cortex_code_context

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

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

cortex_code_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 Cortex Hub — 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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Related tools and policies

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Questions about cortex_code_context

What does the cortex_code_context tool do? +

Get a 360° view of a code symbol: its methods, callers, callees, and related execution flows. Essential for exploring class hierarchies and understanding how a symbol is used across the codebase. It is categorised as a Read tool in the Cortex Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on cortex_code_context? +

Register the Cortex Hub MCP server in PolicyLayer and add a rule for cortex_code_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 Cortex Hub. Nothing to install.

What risk level is cortex_code_context? +

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

Can I rate-limit cortex_code_context? +

Yes. Add a rate_limit block to the cortex_code_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 cortex_code_context completely? +

Set action: deny in the PolicyLayer policy for cortex_code_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 cortex_code_context? +

cortex_code_context is provided by the Cortex Hub MCP server (lktiep/cortex-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Cortex Hub tool call.

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

Free to start. No card required.

25 Cortex Hub tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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