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neuron_build_persona_from_text

Distill a reusable voice from raw text — no Collection or browser extension needed. Feed it pasted posts, a chat/dialogue transcript, WhatsApp-export text, or your own well-crafted writing sample, and it reverse-engineers a voiceProfile (tone, diction, cadence, emoji/formatting habits, themes, do...

SERVERNeuron SOURCEneuron-mcp-server
High RISK CLASS
Category Execute
Parameters 70 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-conquext-neuron/neuron-build-persona-from-text.md

What neuron_build_persona_from_text does on Neuron

AI agents invoke neuron_build_persona_from_text to trigger actions in Neuron. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

ParameterTypeRequiredDescription
name string — Persona name. Defaults to '<author> voice' or 'Custom voice'.
text string — A raw blob to distill: posts, a dialogue, a chat transcript, or a writing sample. Auto-split into samples.
samples array — Pre-split writing samples (alternative or addition to `text`).
speaker string — If `text` is a chat transcript, keep only this speaker's lines (name match) — so a group chat yields one person's voice.
platform string — Optional metadata tag for the samples (e.g. 'whatsapp', 'x').
authorLabel string — Who the voice belongs to, for a more grounded analysis.
description string —

Parameters from the server's own tool schema.

Why neuron_build_persona_from_text is rated High

neuron_build_persona_from_text triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Questions about neuron_build_persona_from_text

What does the neuron_build_persona_from_text tool do? +

Distill a reusable voice from raw text — no Collection or browser extension needed. Feed it pasted posts, a chat/dialogue transcript, WhatsApp-export text, or your own well-crafted writing sample, and it reverse-engineers a voiceProfile (tone, diction, cadence, emoji/formatting habits, themes, dos/donts) + exemplars. Provide text (auto-split into samples) and/or samples (already-split). Runs an LLM call (a few seconds). It is categorised as a Execute tool in the Neuron MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does neuron_build_persona_from_text accept? +

neuron_build_persona_from_text accepts 7 parameters: name, text, samples, speaker, platform, authorLabel, description. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on neuron_build_persona_from_text? +

Register the Neuron MCP server in PolicyLayer and add a rule for neuron_build_persona_from_text: 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.

What risk level is neuron_build_persona_from_text? +

neuron_build_persona_from_text is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit neuron_build_persona_from_text? +

Yes. Add a rate_limit block to the neuron_build_persona_from_text 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 neuron_build_persona_from_text completely? +

Set action: deny in the PolicyLayer policy for neuron_build_persona_from_text. 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 neuron_build_persona_from_text? +

neuron_build_persona_from_text 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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