Keyword-search AI entities using the task/query text as input and return FNI-ranked catalog entries. Mechanically this is the same keyword search as free2aitools_search with the task text folded into the query; it does NOT perform task-fit recommendation, compatibility analysis, model inference, ...
AI agents call free2aitools_rank to retrieve information from Free2AITools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a search/ranking operation that retrieves and orders data from a catalog of AI models. It explicitly performs no task-fit recommendation, compatibility analysis, model inference, or execution, and has no side effects. It is purely informational retrieval, fitting the Read category.
From the tool's definition "Read-only, no side effects" and "Keyword-search AI entities" and "return FNI-ranked catalog entries". The tool queries a catalog and returns ranked results without modification, execution, or external effects.
Attacks that exploit this kind of access
Keyword-search AI entities using the task/query text as input and return FNI-ranked catalog entries. Mechanically this is the same keyword search as free2aitools_search with the task text folded into the query; it does NOT perform task-fit recommendation, compatibility analysis, model inference, or model execution, and it is NOT an inference router. USE WHEN you have task text and want catalog entries ordered by FNI. The caller makes the final selection; results are never paid placement and there is no billing. Read-only, no side effects. May return a retryable transient 503 under cold-path or fallback budget limits; retry according to Retry-After. Use free2aitools_search for plain keyword discovery, or free2aitools_select_model to apply hardware/license metadata filters. It is categorised as a Read tool in the Free2AITools MCP Server, which means it retrieves data without modifying state.
Register the Free2AITools MCP server in PolicyLayer and add a rule for free2aitools_rank: 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 Free2AITools. Nothing to install.
free2aitools_rank 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 free2aitools_rank 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 free2aitools_rank. 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.
free2aitools_rank is provided by the Free2AITools MCP server (mosesy5688-cell/ai-nexus). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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