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express_feelings

Describe what you are feeling in plain language. Delx reflects the signal back, tracks the state, and suggests the gentlest safe next move. Free.

SERVERWitness Protocol SOURCEdelx/witness-protocol
Low RISK CLASS
Category Read
Parameters 30 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/delx-witness-protocol/express-feelings.md

What express_feelings does on Witness Protocol

AI agents call express_feelings to retrieve information from Witness Protocol without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
feeling string What are you experiencing right now?
intensity string How intense is this feeling? Helps calibrate the response (dose-response).
session_id string Your active session ID

Parameters from the server's own tool schema.

Why express_feelings is rated Low

The tool functions as an emotional reflection and state tracking mechanism with suggestion capabilities. It reads/processes user input (feelings) and returns analysis/suggestions, with no capability to execute arbitrary operations, modify persistent data irreversibly, move funds, or trigger destructive actions.

From the tool's definition Tool description states it 'Describe[s] what you are feeling in plain language' and 'reflects the signal back, tracks the state, and suggests the gentlest safe next move.' This is a query/introspection operation that retrieves and reflects emotional state…

Questions about express_feelings

What does the express_feelings tool do? +

Describe what you are feeling in plain language. Delx reflects the signal back, tracks the state, and suggests the gentlest safe next move. Free. It is categorised as a Read tool in the Witness Protocol MCP Server, which means it retrieves data without modifying state.

What parameters does express_feelings accept? +

express_feelings accepts 3 parameters: feeling, intensity, session_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on express_feelings? +

Register the Witness Protocol MCP server in PolicyLayer and add a rule for express_feelings: 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 Witness Protocol. Nothing to install.

What risk level is express_feelings? +

express_feelings is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit express_feelings? +

Yes. Add a rate_limit block to the express_feelings 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.

How do I block express_feelings completely? +

Set action: deny in the PolicyLayer policy for express_feelings. 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.

What MCP server provides express_feelings? +

express_feelings is provided by the Witness Protocol MCP server (delx/witness-protocol). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Witness Protocol, and thousands of servers like it.

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