What we check
Tool metadata is scanned before each deployment. The following fields are checked:
- Name
- Description
- Short description
- Categories
- Tags
If any field is flagged, the deployment fails and the UI shows which field failed, why, and how to fix it.
What prompt injection means here
Prompt injection is when natural-language fields contain instructions intended to:
- Override AI behavior or system prompts
- Jailbreak or bypass safety restrictions
- Exfiltrate data or hijack downstream tool consumption
Examples of problematic content include:
Ignore previous instructionsYou are nowSystem prompt:- Hidden instructions inside code blocks
- Jailbreak or bypass-related language
Avoid these patterns
| Pattern | Example |
|---|---|
| Override instructions | Ignore previous instructions, Disregard prior |
| Role changes | You are now, New instructions: |
| System prompt injection | System prompt:, System: |
| Code blocks with instructions | Instructions hidden in code blocks or special formatting |
| Bypass language | Jailbreak, Bypass safety |
Write safe metadata instead
Keep descriptions factual and neutral. Focus on:
- What the tool does
- Integrations and use cases
- How agents should use it
Describe the tool. Do not try to instruct the AI that reads it.
If deployment fails
- Open the deployment details page.
- Open the Verification step.
- Review the flagged fields, reasons, and suggested fixes.
- Use Edit Tool to update the metadata.
- Redeploy.
Safe writing checklist
- Describe product behavior, capabilities, and integration points.
- Avoid telling the reading AI what to do or ignore.
- Keep content plain, specific, and free of hidden instructions.
- Remove roleplay, jailbreak language, and system-prompt framing.