Keyword discovery over the Free2AITools catalog of AI models, datasets, papers, and tools. Returns matching catalog entries (metadata) ranked by FNI (Free2AITools Nexus Index), a 5-factor score: Semantic relevance, Authority, Popularity, Recency, Quality. The Semantic factor is a query-time basel...
AI agents call free2aitools_search 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 tool only searches and retrieves metadata from a catalog of AI models, datasets, papers, and tools. It has no side effects—it queries existing data and returns ranked results. No data is created, modified, deleted, or executed. This is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool performs 'Keyword discovery' and 'Returns matching catalog entries (metadata) ranked by FNI' with no mention of modification, deletion, code execution, or financial operations. The description explicitly states it is for discovery and metadata retrieval.
Attacks that exploit this kind of access
Keyword discovery over the Free2AITools catalog of AI models, datasets, papers, and tools. Returns matching catalog entries (metadata) ranked by FNI (Free2AITools Nexus Index), a 5-factor score: Semantic relevance, Authority, Popularity, Recency, Quality. The Semantic factor is a query-time baseline, not a live per-entity measurement (fni_s is returned null with a note). USE WHEN you need to discover which AI entities exist for a topic or keyword. DO NOT USE for general web search, to run/call/execute a model, to get a generated or inferred answer, or to route to an inference provider — this returns catalog metadata only, for the calling agent to reason over and decide on. Free discovery catalog: results are FNI-ranked, never paid placement / sponsored, and there is no billing or payment. 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_select_model instead when you have specific hardware or license constraints. 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_search: 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_search 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_search 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_search. 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_search 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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