Create a new analysis suite AND dispatch an AI crawling agent in one step. The agent opens a real browser, navigates from the starting URL, discovers pages, and maps the application structure. Use this when you want to auto-analyze a web app — it combines suite creation and crawling. Use wopee_cr...
Part of the Wopee server.
Free to start. No card required.
AI agents use wopee_dispatch_analysis to create or modify resources in Wopee. 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 wopee_dispatch_analysis 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 Wopee.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"wopee_dispatch_analysis": {
"limits": [
{
"counter": "wopee_dispatch_analysis_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Wopee policy for all 11 tools.
These attack patterns abuse exactly the kind of access wopee_dispatch_analysis 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 a new analysis suite AND dispatch an AI crawling agent in one step. The agent opens a real browser, navigates from the starting URL, discovers pages, and maps the application structure. Use this when you want to auto-analyze a web app — it combines suite creation and crawling. Use wopee_create_blank_suite instead if you want to manually populate the suite. Optionally accepts starting URL, login credentials, cookie preferences (ACCEPT_ALL, DECLINE_ALL, IGNORE), custom variables, and free-text instructions to guide the crawl. Not idempotent: each call creates a new suite and starts a new crawl. Side effects: creates a suite and execution records on the platform. Rate limit: 10 seconds between dispatches per project; concurrent calls auto-retry with exponential backoff. Returns the created suite object on success.. It is categorised as a Write tool in the Wopee MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Wopee MCP server in PolicyLayer and add a rule for wopee_dispatch_analysis: 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 Wopee. Nothing to install.
wopee_dispatch_analysis 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 wopee_dispatch_analysis 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 wopee_dispatch_analysis. 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.
wopee_dispatch_analysis is provided by the Wopee MCP server (wopee-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 11 Wopee 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.