Low Risk

cortex_get_decisions

Returns all architectural decisions (ADRs) recorded for this project.

How to control cortex_get_decisions ↓

What cortex_get_decisions does on Cortex Memory

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

Low Risk

Why cortex_get_decisions needs a policy

This tool retrieves architectural decision records (ADRs) without modifying, deleting, or executing any operations. It is purely informational and serves to provide context to the AI agent. The blast radius of misuse is minimal—an agent could only read project architectural decisions, which poses no risk to data integrity, system operations, or financial obligations.

From the tool's definition Tool name 'cortex_get_decisions' and description 'Returns all architectural decisions' indicates a retrieval operation with no side effects. The verb 'Returns' and the read-only nature of querying existing ADRs confirm this is a query/fetch operation.

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

How to control cortex_get_decisions

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

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

cortex_get_decisions 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 Memory — 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_get_decisions

What does the cortex_get_decisions tool do? +

Returns all architectural decisions (ADRs) recorded for this project. It is categorised as a Read tool in the Cortex Memory MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on cortex_get_decisions? +

Register the Cortex Memory MCP server in PolicyLayer and add a rule for cortex_get_decisions: 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 Memory. Nothing to install.

What risk level is cortex_get_decisions? +

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

Can I rate-limit cortex_get_decisions? +

Yes. Add a rate_limit block to the cortex_get_decisions 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_get_decisions completely? +

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

cortex_get_decisions is provided by the Cortex Memory MCP server (skullfire07/cortex-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Cortex Memory tool call.

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

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

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