free2aitools_select_model

Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries. USE WHEN you have concrete constraints (VRAM, params, license, context length, local-runnability) and want candidates narrowed by them. Constraints are metadata/heuristic filters over st...

Server Free2AITools mosesy5688-cell/ai-nexus
Category Read
Risk class Low
Parameters 00 required

What free2aitools_select_model does on Free2AITools

AI agents call free2aitools_select_model 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.

Why free2aitools_select_model needs a policy

The tool explicitly states it is read-only with no side effects. It filters and returns catalog entries based on metadata constraints without executing code, modifying data, or triggering any external operations.

From the tool's definition Read-only, no side effects... Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries

Questions about free2aitools_select_model

What does the free2aitools_select_model tool do? +

Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries. USE WHEN you have concrete constraints (VRAM, params, license, context length, local-runnability) and want candidates narrowed by them. Constraints are metadata/heuristic filters over stored fields, NOT verified compatibility analysis, model inference, or model execution; this tool does not decide for you and is not an inference router. The caller is responsible for the final selection. Results are FNI-ranked, never paid placement, with no billing. Read-only, no side effects. Use free2aitools_search for unconstrained keyword discovery, or free2aitools_rank for keyword ranking without metadata filters. It is categorised as a Read tool in the Free2AITools MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on free2aitools_select_model? +

Register the Free2AITools MCP server in PolicyLayer and add a rule for free2aitools_select_model: 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.

What risk level is free2aitools_select_model? +

free2aitools_select_model is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit free2aitools_select_model? +

Yes. Add a rate_limit block to the free2aitools_select_model 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.

How do I block free2aitools_select_model completely? +

Set action: deny in the PolicyLayer policy for free2aitools_select_model. 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.

What MCP server provides free2aitools_select_model? +

free2aitools_select_model 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.

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