This record as markdown: /tools/heznpc-airmcp/list-participants.md
What list_participants does on AirMCP
AI agents call list_participants to retrieve information from AirMCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_participants is rated Low
This tool queries and returns information about chat participants without creating, modifying, deleting, or executing any operations. It is a pure read operation that retrieves existing data from a chat/messaging context. The blast radius is minimal—an agent listing chat participants causes no destructive, financial, or state-altering harm.
From the tool's definition Tool name 'list_participants' and description 'List all participants in a specific chat' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
The rule that runs list_participants safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AirMCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_participants, this is the rule to start with:
list_participants is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AirMCP, apply this rule, and every list_participants call is checked against it from then on.
Questions about list_participants
List all participants in a specific chat. It is categorised as a Read tool in the AirMCP MCP Server, which means it retrieves data without modifying state.
Register the Air MCP server in PolicyLayer and add a rule for list_participants: 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 AirMCP. Nothing to install.
list_participants 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_participants 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_participants. 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_participants is provided by the Air MCP server (airmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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