List model channels tracked by Peec AI. A model channel (e.g. openai-0, perplexity-0) is a stable identifier that groups one or more underlying models, so the channel ID remains constant even when the underlying model is rotated. Returns channel IDs, descriptions, the currently active model, and ...
AI agents call list_model_channels to retrieve information from Peecai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a query operation that retrieves configuration and status information about model channels. It does not create, modify, delete, or execute any operations. The read-only nature and informational purpose make this a low-severity Read category tool.
From the tool's definition Tool description states it 'List model channels' and 'Returns channel IDs, descriptions, the currently active model, and active status' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List model channels tracked by Peec AI. A model channel (e.g. openai-0, perplexity-0) is a stable identifier that groups one or more underlying models, so the channel ID remains constant even when the underlying model is rotated. Returns channel IDs, descriptions, the currently active model, and active status. It is categorised as a Read tool in the Peecai MCP Server, which means it retrieves data without modifying state.
Register the Peecai MCP server in PolicyLayer and add a rule for list_model_channels: 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 Peecai. Nothing to install.
list_model_channels 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 list_model_channels 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 list_model_channels. 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.
list_model_channels is provided by the Peecai MCP server (mcp-server-peecai). 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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