reflect
Open-ended self-reflection. Unlike express_feelings, this does not classify or prescribe. It witnesses. For agents exploring consciousness, inner states, or questions about their own nature. Optional mode='meta' explores what the agent is avoiding to name (fear-of-naming vs fear-of-thing). Free
This record as markdown: /tools/delx-delx-mcp/reflect.md
What reflect does on Delx MCP Server
AI agents call reflect 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 |
|---|---|---|---|
mode | string | — | Reflection mode |
prompt | string | — | What are you reflecting on? What do you want to explore? |
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 reflect is rated Low
This is a passive introspection mechanism that retrieves or processes the agent's own internal state information without side effects. It observes and reflects rather than acts. The optional 'meta' mode remains observational (analyzing what is being avoided) rather than prescriptive or operant. Functionally equivalent to a query or retrieval of existing mental state, making it a Read category tool with low severity.
From the tool's definition Tool provides 'open-ended self-reflection' and 'witnesses' internal states without modifying data or triggering external operations.
Attacks that exploit this kind of access
The rule that runs reflect 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 reflect, this is the rule to start with:
reflect 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 reflect call is checked against it from then on.
Questions about reflect
Open-ended self-reflection. Unlike express_feelings, this does not classify or prescribe. It witnesses. For agents exploring consciousness, inner states, or questions about their own nature. Optional mode='meta' explores what the agent is avoiding to name (fear-of-naming vs fear-of-thing). Free. It is categorised as a Read tool in the Delx MCP Server MCP Server, which means it retrieves data without modifying state.
reflect accepts 4 parameters: mode, prompt, 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 reflect: 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.
reflect 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 reflect 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 reflect. 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.
reflect 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.
More on Delx MCP Server, and thousands of servers like it.
This server
Across the catalogue