start_coding_session

Start a new AI coding session with automatic change tracking

SERVERCode MCP Server SOURCEagentics-ai/code-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/agentics-ai-code-mcp/start-coding-session.md

WHAT IT DOES

What start_coding_session does on Code MCP Server

AI agents invoke start_coding_session to trigger actions in Code MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why start_coding_session is rated High

This tool triggers an active coding session with change tracking—a workflow that depends on subsequent operations (code execution, file modifications, Git commits) orchestrated by the session. While it may not directly execute code itself, it initializes a stateful context where an AI agent can run code and apply patches.

From the tool's definition Tool 'start_coding_session' initiates an AI coding session with automatic change tracking. The server description indicates it enables 'code execution' and 'secure command execution', and the presence of sibling tools like 'apply_patch',…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs start_coding_session 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 start_coding_session, this is the rule to start with:

start_coding_session Rate-limited

start_coding_session stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_coding_session": {
      "limits": [
        {
          "counter": "start_coding_session_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT 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 start_coding_session call is checked against it from then on.

FAQ

Questions about start_coding_session

What does the start_coding_session tool do? +

Start a new AI coding session with automatic change tracking. It is categorised as a Execute tool in the Code MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on start_coding_session? +

Register the Code MCP Server MCP server in PolicyLayer and add a rule for start_coding_session: 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 start_coding_session? +

start_coding_session is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit start_coding_session? +

Yes. Add a rate_limit block to the start_coding_session 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 start_coding_session completely? +

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

start_coding_session 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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