Initialize and populate empty AI_README files within a project. When to use: - First-time setup when no AI_README exists. - get_context_for_file reports empty or missing AI_README files. - Newly created directories need conventions recorded. - Multiple directories require conventions in one pass....
AI agents use init_ai_readme to create or update resources in Ai Readme — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ai Readme environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
targetPath | string | — | Specific directory to initialize (optional, defaults to scanning entire project) |
projectRoot | string | Yes | The root directory of the project. Use the current working directory (e.g., from environment or pwd). If unsure, pass the project root path. |
excludePatterns | array | — | Glob patterns to exclude when scanning |
Parameters from the server's own tool schema.
This tool creates and populates new files (AI_README.md) within a project. It is a Write operation because it creates files that did not previously exist or populates empty ones. While it modifies the filesystem, these are new/empty files being initialized rather than destructive overwrites of existing content, making Write the appropriate category.
From the tool's definition Initialize and populate empty AI_README files within a project... Creates a root-level AI_README if none is present... Scans for missing or empty AI_README documents
Risk signalsAdmin/system-level operation
Documented attack patterns abuse exactly the kind of access init_ai_readme gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ai Readme, and nothing reaches the server without passing your rules. This is the rule we recommend for init_ai_readme:
{
"version": "1",
"default": "deny",
"tools": {
"init_ai_readme": {
"limits": [
{
"counter": "init_ai_readme_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}init_ai_readme stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Initialize and populate empty AI_README files within a project. When to use: - First-time setup when no AI_README exists. - get_context_for_file reports empty or missing AI_README files. - Newly created directories need conventions recorded. - Multiple directories require conventions in one pass. What it does: - Scans for missing or empty AI_README documents. - Creates a root-level AI_README if none is present. - Provides directory-specific prompts to gather conventions. - Guides you through documenting tech stack, patterns, and naming. Workflow: - Call init_ai_readme. - Follow the step-by-step instructions to inspect each directory. - Use update_ai_readme to record the conventions. - Run validate_ai_readmes to check for problems. - Fix any warnings (remove redundant content, add Cross-directory dependencies section). - Re-run get_context_for_file to confirm coverage before coding. It is categorised as a Write tool in the Ai Readme MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
init_ai_readme accepts 3 parameters: targetPath, projectRoot, excludePatterns. Required: projectRoot. The full parameter table on this page comes from the server's own tool schema.
Register the Ai Readme MCP server in PolicyLayer and add a rule for init_ai_readme: 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 Ai Readme. Nothing to install.
init_ai_readme is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the init_ai_readme 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.
Set action: deny in the PolicyLayer policy for init_ai_readme. 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.
init_ai_readme is provided by the Ai Readme MCP server (ai-readme-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ai Readme, 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.
6 Ai Readme tools catalogued and risk-classified — across an index of 43,000+ MCP servers.