Detect emotions using Circumplex model (valence, arousal, dominance) and discrete classification.
AI agents call detect_emotion to retrieve information from ThoughtMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool analyzes and categorizes emotional data based on input, producing outputs that describe emotional states. It has no side effects, does not modify data, does not execute commands, and does not create irreversible changes. It is a read-only analytical operation similar to classification or tagging of existing information.
From the tool's definition Tool performs emotion detection and classification without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
Detect emotions using Circumplex model (valence, arousal, dominance) and discrete classification. It is categorised as a Read tool in the ThoughtMCP MCP Server, which means it retrieves data without modifying state.
Register the Thought MCP server in PolicyLayer and add a rule for detect_emotion: 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 ThoughtMCP. Nothing to install.
detect_emotion 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 detect_emotion 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 detect_emotion. 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.
detect_emotion is provided by the Thought MCP server (keyurgolani/thoughtmcp). 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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