AI agents call infoset_list_contacts to retrieve information from Infoset without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves contact information from the Infoset CRM system without creating, modifying, or deleting data. It is a standard read operation with minimal security risk. The blast radius of misuse is limited to unauthorized information disclosure of contact data.
From the tool's definition Tool name includes 'list' and description states 'List or search Infoset contacts' — both indicate data retrieval with no modifications or deletions.
Attacks that exploit this kind of access
List or search Infoset contacts. It is categorised as a Read tool in the Infoset MCP Server, which means it retrieves data without modifying state.
Register the Infoset MCP server in PolicyLayer and add a rule for infoset_list_contacts: 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 Infoset. Nothing to install.
infoset_list_contacts 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 infoset_list_contacts 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 infoset_list_contacts. 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.
infoset_list_contacts is provided by the Infoset MCP server (sudohakan/infoset-mcp). 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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