cite_term
AI agents call cite_term to retrieve information from Phenomenai without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Citing a term means retrieving and formatting bibliographic or reference information about an existing glossary entry. This has no persistent side effects, does not modify data, and does not execute external code. It is purely informational retrieval, fitting the Read category. Tool description is empty, which slightly reduces confidence, but the name and server context are clear.
From the tool's definition Tool name is 'cite_term' on a glossary server. Server description indicates it supports 'cite' as a core function alongside lookup, search, and contribute.
Attacks that exploit this kind of access
cite_term. It is categorised as a Read tool in the Phenomenai MCP Server, which means it retrieves data without modifying state.
Register the Phenomenai MCP server in PolicyLayer and add a rule for cite_term: 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 Phenomenai. Nothing to install.
cite_term 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 cite_term 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 cite_term. 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.
cite_term is provided by the Phenomenai MCP server (phenomenai-org/ai-dictionary-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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