Compare 2–5 AVnester listings by listingId. Get the listingIds from search_properties results first (the listingId field) — IDs are not guessable. Returns each listing PLUS objective metrics: pricePerSqft, vsCheapestPercent (0 for cheapest, positive for pricier), vsLargestAreaPercent (0 for large...
Part of the AVnester — Indian Real Estate Intelligence server.
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AI agents call compare_properties to retrieve information from AVnester — Indian Real Estate Intelligence without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though compare_properties only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"compare_properties": {}
}
}See the full AVnester — Indian Real Estate Intelligence policy for all 11 tools.
These attack patterns abuse exactly the kind of access compare_properties gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Compare 2–5 AVnester listings by listingId. Get the listingIds from search_properties results first (the listingId field) — IDs are not guessable. Returns each listing PLUS objective metrics: pricePerSqft, vsCheapestPercent (0 for cheapest, positive for pricier), vsLargestAreaPercent (0 for largest, negative for smaller). Coimbatore-only catalog; unknown IDs return not_found_or_unpublished. Does NOT recommend a final purchase. Always surface the disclaimer field.. It is categorised as a Read tool in the AVnester — Indian Real Estate Intelligence MCP Server, which means it retrieves data without modifying state.
Register the AVnester — Indian Real Estate Intelligence MCP server in PolicyLayer and add a rule for compare_properties: 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 AVnester — Indian Real Estate Intelligence. Nothing to install.
compare_properties is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the compare_properties 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 compare_properties. 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.
compare_properties is provided by the AVnester — Indian Real Estate Intelligence MCP server (https://mcp.avnester.com/public-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 AVnester — Indian Real Estate Intelligence tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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