AI agents call list_tags 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 retrieves and queries existing tag metadata (IDs and names) without creating, modifying, or deleting any data. It is a straightforward read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name is 'list_tags' and description states it 'List category tags for a Peec AI project. Returns tag IDs and names.' The verb 'list' and the action of returning data indicates a read-only retrieval operation with no side effects.
Attacks that exploit this kind of access
List category tags for a Peec AI project. Returns tag IDs and names. 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_tags: 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_tags 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_tags 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_tags. 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_tags 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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