Validate all AI_README.md files in a project. Checks token count, structure, and content quality. Returns validation results with suggestions for improvement.
Risk signalsHigh parameter count (14 properties)
Part of the Ai Readme server.
Free to start. No card required.
AI agents call validate_ai_readmes to retrieve information from Ai Readme without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though validate_ai_readmes only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"validate_ai_readmes": {}
}
}See the full Ai Readme policy for all 6 tools.
These attack patterns abuse exactly the kind of access validate_ai_readmes gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Validate all AI_README.md files in a project. Checks token count, structure, and content quality. Returns validation results with suggestions for improvement.. It is categorised as a Read tool in the Ai Readme MCP Server, which means it retrieves data without modifying state.
Register the Ai Readme MCP server in PolicyLayer and add a rule for validate_ai_readmes: 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.
validate_ai_readmes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the validate_ai_readmes 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 validate_ai_readmes. 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.
validate_ai_readmes 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.
Deterministic rules across all 6 Ai Readme tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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