Create contextual bug reports
Risk signalsCreates issue tracking entries
Part of the Aifp server.
Free to start. No card required.
AI agents use issue_reports to create or modify resources in Aifp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call issue_reports repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Aifp.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"issue_reports": {
"limits": [
{
"counter": "issue_reports_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Aifp policy for all 24 tools.
These attack patterns abuse exactly the kind of access issue_reports gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Create contextual bug reports. It is categorised as a Write tool in the Aifp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Aifp MCP server in PolicyLayer and add a rule for issue_reports: 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 Aifp. Nothing to install.
issue_reports 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 issue_reports 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 issue_reports. 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.
issue_reports is provided by the Aifp MCP server (aryanduntley/AIFP). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 24 Aifp 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.