Select the best AI model for a task with hardware/license constraints. Returns ranked recommendations with rationale.
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.
| Parameter | Type | Required | Description |
|---|---|---|---|
task | string | — | Task name or description (e.g. "text-generation", "code assistant") |
limit | number | — | |
explain | boolean | — | |
constraints | object | — |
Parameters from the server's own tool schema.
This tool retrieves and ranks AI model recommendations based on given constraints. It reads/queries data from the catalogue and returns results without creating, modifying, or deleting anything. The word 'Returns' confirms it is a read/query operation with no side effects.
From the tool's definition Select the best AI model for a task with hardware/license constraints. Returns ranked recommendations with rationale.
Risk signalsHigh parameter count (12 properties)
Documented attack patterns abuse exactly the kind of access free2aitools_select_model gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Free2aitools, and nothing reaches the server without passing your rules. This is the rule we recommend for free2aitools_select_model:
{
"version": "1",
"default": "deny",
"tools": {
"free2aitools_select_model": {}
}
}free2aitools_select_model is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Select the best AI model for a task with hardware/license constraints. Returns ranked recommendations with rationale. It is categorised as a Read tool in the Free2aitools MCP Server, which means it retrieves data without modifying state.
free2aitools_select_model accepts 4 parameters: task, limit, explain, constraints. The full parameter table on this page comes from the server's own tool schema.
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.
free2aitools_select_model 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_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.
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.
free2aitools_select_model is provided by the Free2aitools MCP server (mosesy5688/free2aitools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Free2aitools, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 Free2aitools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.