Review and critique code for quality, security, and best practices. Returns detailed feedback and scores.
Risk signalsAccepts freeform code/query input (code)
Part of the Atlas Pipeline server.
Free to start. No card required.
AI agents call atlas_critique to retrieve information from Atlas Pipeline 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 atlas_critique 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": {
"atlas_critique": {}
}
}See the full Atlas Pipeline policy for all 31 tools.
These attack patterns abuse exactly the kind of access atlas_critique 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.
Review and critique code for quality, security, and best practices. Returns detailed feedback and scores.. It is categorised as a Read tool in the Atlas Pipeline MCP Server, which means it retrieves data without modifying state.
Register the Atlas Pipeline MCP server in PolicyLayer and add a rule for atlas_critique: 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 Atlas Pipeline. Nothing to install.
atlas_critique 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 atlas_critique 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 atlas_critique. 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.
atlas_critique is provided by the Atlas Pipeline MCP server (atlas-pipeline-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 31 Atlas Pipeline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.