Screener deal immobilier (EU) — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Answers: Screen this real estate deal: <address>, <deal_type>, asking €<price> — give me cap rate vs market, location score, risk flags, and deal recommendation. · Should I purs...
Part of the Mcp Knowledge server.
Free to start. No card required.
AI agents invoke re_deal_screener to trigger processes or run actions in Mcp Knowledge. 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.
re_deal_screener 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": {
"re_deal_screener": {
"limits": [
{
"counter": "re_deal_screener_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Mcp Knowledge policy for all 271 tools.
These attack patterns abuse exactly the kind of access re_deal_screener 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.
Screener deal immobilier (EU) — Gapup agent-payable C-suite expertise (CFO). Returns a structured, audited deliverable. Answers: Screen this real estate deal: <address>, <deal_type>, asking €<price> — give me cap rate vs market, location score, risk flags, and deal recommendation. · Should I pursue this hotel investment at <address> for €<price> with <N> keys? Run an EU deal screener with DVF comparables and Géorisques risk data. · What is the real estate market valuation for a <deal_type> at <address> based on recent French DVF transactions? · Run a due diligence deal screen on this property: <address>, €<price>, <sqm> sqm — flood risk, cap rate, price vs comparables. · Evaluate this commercial real estate deal for an investment committee: <deal_type> at <address>, €<price>, NOI €<noi>. Reference case: Hôtel boutique 45 keys · 12 rue de la Paix 75002 Paris · €12.5M · €277k/key · comp DVF €250-380k/key · location 92/100 · score 72 · pursue-with-conditions. Inputs are validated server-side — send the documented case fields.. It is categorised as a Execute tool in the Mcp Knowledge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for re_deal_screener: 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 Mcp Knowledge. Nothing to install.
re_deal_screener 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 re_deal_screener 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 re_deal_screener. 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.
re_deal_screener is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 271 Mcp Knowledge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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