Evaluate the quality of a translation using xCOMET model. This tool analyzes a source text and its translation, providing: - A quality score between 0 and 1 (higher is better) - Detected error spans with severity levels (minor/major/critical) - A human-readable quality summary Args: - source (str...
Part of the Xcomet server.
Free to start. No card required.
AI agents invoke xcomet_evaluate to trigger processes or run actions in Xcomet. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
xcomet_evaluate can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"xcomet_evaluate": {
"limits": [
{
"counter": "xcomet_evaluate_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Xcomet policy for all 3 tools.
These attack patterns abuse exactly the kind of access xcomet_evaluate gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Evaluate the quality of a translation using xCOMET model. This tool analyzes a source text and its translation, providing: - A quality score between 0 and 1 (higher is better) - Detected error spans with severity levels (minor/major/critical) - A human-readable quality summary Args: - source (string): Original source text to translate from - translation (string): Translated text to evaluate - reference (string, optional): Reference translation for comparison - source_lang (string, optional): Source language code (ISO 639-1) - target_lang (string, optional): Target language code (ISO 639-1) - response_format ('json' | 'markdown'): Output format (default: 'json') Returns: For JSON format: { "score": number, // Quality score 0-1 "errors": [ // Detected errors { "text": string, "start": number, "end": number, "severity": "minor" | "major" | "critical" } ], "summary": string // Human-readable summary } Examples: - Evaluate EN→JA translation quality - Check if MT output needs post-editing - Compare translation against reference. It is categorised as a Execute tool in the Xcomet MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Xcomet MCP server in PolicyLayer and add a rule for xcomet_evaluate: 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 Xcomet. Nothing to install.
xcomet_evaluate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the xcomet_evaluate 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 xcomet_evaluate. 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.
xcomet_evaluate is provided by the Xcomet MCP server (xcomet-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 Xcomet 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.