models

List supported model names, model aliases, and dynamic backend discovery hints.

Server Agent Bridge lailai258/agent-bridge-mcp
Category Read
Risk class Low
Parameters 00 required

What models does on Agent Bridge

AI agents call models to retrieve information from Agent Bridge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why models needs a policy

This tool retrieves and displays metadata about available models and their aliases. It performs no modifications, does not execute code or commands, and does not affect system state. The action is read-only inspection of configuration or discovery information. Even in the context of an AI task launcher, listing models is a safe, informational operation with minimal risk if misused by an agent.

From the tool's definition Tool description states it 'List[s] supported model names, model aliases, and dynamic backend discovery hints' — a purely informational query operation with no side effects.

Questions about models

What does the models tool do? +

List supported model names, model aliases, and dynamic backend discovery hints. It is categorised as a Read tool in the Agent Bridge MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on models? +

Register the Agent Bridge MCP server in PolicyLayer and add a rule for models: 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 Agent Bridge. Nothing to install.

What risk level is models? +

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

Can I rate-limit models? +

Yes. Add a rate_limit block to the models 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 models completely? +

Set action: deny in the PolicyLayer policy for models. 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 models? +

models is provided by the Agent Bridge MCP server (lailai258/agent-bridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

models is one line of Agent Bridge's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

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