neuron_reject_reflection
Reject a bot-generated reflection to prevent it from being incorporated into the bot's learned behavior.
This record as markdown: /tools/io-github-conquext-neuron/neuron-reject-reflection.md
What neuron_reject_reflection does on Neuron
AI agents use neuron_reject_reflection to create or update resources in Neuron, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Neuron environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | string | Yes | Unique identifier (UUID) of the reflection to reject |
Parameters from the server's own tool schema.
Why neuron_reject_reflection is rated Medium
This tool modifies bot configuration and behavior by reversibly rejecting reflections that would otherwise be incorporated into learning. It's a Write operation because it updates bot state (what gets learned), not a Read (no retrieval), Execute (no code execution), Destructive (the rejection is reversible and doesn't permanently delete data), or Financial operation.
From the tool's definition Tool description states 'Reject a bot-generated reflection to prevent it from being incorporated into the bot's learned behavior' — this modifies the bot's state and learned behavior by filtering/rejecting training data.
Attacks that exploit this kind of access
The rule that runs neuron_reject_reflection safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Neuron, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For neuron_reject_reflection, this is the rule to start with:
neuron_reject_reflection stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Neuron, apply this rule, and every neuron_reject_reflection call is checked against it from then on.
Questions about neuron_reject_reflection
Reject a bot-generated reflection to prevent it from being incorporated into the bot's learned behavior. It is categorised as a Write tool in the Neuron MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
neuron_reject_reflection accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the Neuron MCP server in PolicyLayer and add a rule for neuron_reject_reflection: 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 Neuron. Nothing to install.
neuron_reject_reflection is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the neuron_reject_reflection 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 neuron_reject_reflection. 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.
neuron_reject_reflection is provided by the Neuron MCP server (neuron-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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