get_allowed_commands

Get list of commands that are allowed to run in this project

SERVERCode MCP Server SOURCEagentics-ai/code-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/agentics-ai-code-mcp/get-allowed-commands.md

WHAT IT DOES

What get_allowed_commands does on Code MCP Server

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

RISK

Why get_allowed_commands is rated Low

This tool retrieves a list of pre-configured allowed commands from project settings. It is a read-only operation with no side effects—it merely queries and returns existing data. The command allowlist itself is a static configuration artifact, not code execution or file modification.

From the tool's definition Tool name and description indicate retrieval functionality: 'Get list of commands' — a query operation that returns configuration data without modifying or executing anything.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_allowed_commands safely

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

get_allowed_commands Allowed

get_allowed_commands 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": {
    "get_allowed_commands": {}
  }
}

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

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

FAQ

Questions about get_allowed_commands

What does the get_allowed_commands tool do? +

Get list of commands that are allowed to run in this project. It is categorised as a Read tool in the Code MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_allowed_commands? +

Register the Code MCP Server MCP server in PolicyLayer and add a rule for get_allowed_commands: 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 Code MCP Server. Nothing to install.

What risk level is get_allowed_commands? +

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

Can I rate-limit get_allowed_commands? +

Yes. Add a rate_limit block to the get_allowed_commands 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_allowed_commands completely? +

Set action: deny in the PolicyLayer policy for get_allowed_commands. 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_allowed_commands? +

get_allowed_commands is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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