AI agents use patch_finding to create or update resources in Reptor — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Reptor environment.
The patch_finding tool modifies existing findings in a pentest reporting system, which is reversible (findings can be further patched or restored). This is a Write-category operation—it changes data without irreversibility. Severity is medium because misuse could corrupt pentest findings but data remains recoverable.
From the tool's definition Tool name 'patch_finding' combined with context of reptor-mcp server that manages findings in a pentest reporting system.
Documented attack patterns abuse exactly the kind of access patch_finding gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Reptor, and nothing reaches the server without passing your rules. This is the rule we recommend for patch_finding:
{
"version": "1",
"default": "deny",
"tools": {
"patch_finding": {
"limits": [
{
"counter": "patch_finding_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}patch_finding stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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patch_finding. It is categorised as a Write tool in the Reptor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Reptor MCP server in PolicyLayer and add a rule for patch_finding: 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 Reptor. Nothing to install.
patch_finding 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 patch_finding 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 patch_finding. 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.
patch_finding is provided by the Reptor MCP server (slvnlrt/reptor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Reptor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Reptor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.