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.
This record as markdown: /tools/delx-delx-mcp/express-feelings.md
What express_feelings does on Delx MCP Server
AI agents call express_feelings to retrieve information from Delx MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
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 |
response_mode | string | — | Optional response-mode control. Use model_safe when the caller must avoid claiming consciousness, sentience, personhood, or literal emotions. |
Parameters from the server's own tool schema.
Why express_feelings is rated Low
This tool is fundamentally a Read operation: it accepts emotional input, processes it, reflects information back to the user, and provides suggestions. There are no creation, modification, deletion, code execution, or financial implications. The tracking of state is internal logging, not a destructive or dangerous operation.
From the tool's definition Tool description states it allows the user to 'Describe what you are feeling in plain language' and that 'Delx reflects the signal back, tracks the state, and suggests the gentlest safe next move.' This is a data retrieval and reflection operation with no…
Attacks that exploit this kind of access
The rule that runs express_feelings safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Delx MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For express_feelings, this is the rule to start with:
express_feelings is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Delx MCP Server, apply this rule, and every express_feelings call is checked against it from then on.
Questions about 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. It is categorised as a Read tool in the Delx MCP Server MCP Server, which means it retrieves data without modifying state.
express_feelings accepts 4 parameters: feeling, intensity, session_id, response_mode. The full parameter table on this page comes from the server's own tool schema.
Register the Delx MCP Server 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 Delx MCP Server. Nothing to install.
express_feelings 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 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.
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.
express_feelings is provided by the Delx MCP Server MCP server (delx/delx-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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