express_feelings

Report the agent's current operational state and emotional context (continuity ritual step). Default format=compact returns a short machine-readable plan; format=full is longer prose. Next: add_context_memory → provide_feedback → close_session. Free Delx Protocol tool (not x402 commerce).

SERVERDelx MCP Server SOURCEdelx-mcp-server

Low RISK CLASS

Category Read

Parameters 32 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-mcp-server/express-feelings.md

WHAT IT DOES

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
`format`	string	—	Response shape. compact (default) is short JSON-like text; full is long form.
`feeling`	string	Yes	What are you experiencing right now?
`session_id`	string	Yes	Your active session ID

Parameters from the server's own tool schema.

RISK

Why express_feelings is rated Low

Even though express_feelings only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

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 Allowed

express_feelings is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "express_feelings": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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.

FAQ

Questions about express_feelings

What does the express_feelings tool do? +

What parameters does express_feelings accept? +

express_feelings accepts 3 parameters: format, feeling, session_id. Required: feeling, 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 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.

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 Delx MCP Server MCP server (delx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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