neuron_search_knowledge
Perform semantic search across all entries and documents in a knowledge base to find relevant information.
This record as markdown: /tools/io-github-conquext-neuron/neuron-search-knowledge.md
What neuron_search_knowledge does on Neuron
AI agents call neuron_search_knowledge to retrieve information from Neuron 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 |
|---|---|---|---|
q | string | Yes | Search query text to find relevant entries |
id | string | Yes | Unique identifier of the knowledge base to search |
limit | number | — | Maximum number of search results to return |
Parameters from the server's own tool schema.
Why neuron_search_knowledge is rated Low
This tool's primary function is to search and retrieve information from a knowledge base. It is purely read-only with no capability to modify, create, delete, or execute operations. The semantic search is a passive query operation. In the context of an AI chatbot platform, this represents minimal security risk as it only accesses already-stored information.
From the tool's definition The tool "performs semantic search across all entries and documents in a knowledge base to find relevant information." This is a retrieval operation with no side effects - it queries existing data without modifying, deleting, or executing any external…
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs neuron_search_knowledge 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_search_knowledge, this is the rule to start with:
neuron_search_knowledge 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 Neuron, apply this rule, and every neuron_search_knowledge call is checked against it from then on.
Questions about neuron_search_knowledge
Perform semantic search across all entries and documents in a knowledge base to find relevant information. It is categorised as a Read tool in the Neuron MCP Server, which means it retrieves data without modifying state.
neuron_search_knowledge accepts 3 parameters: q, id, limit. Required: q, 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_search_knowledge: 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_search_knowledge 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 neuron_search_knowledge 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_search_knowledge. 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_search_knowledge 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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