neuron_get_webhook_logs

Retrieve execution logs for an inbound webhook to monitor incoming requests and debug processing issues.

SERVERNeuron SOURCEneuron-mcp-server
Low RISK CLASS
Category Read
Parameters 31 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-conquext-neuron/neuron-get-webhook-logs.md

What neuron_get_webhook_logs does on Neuron

AI agents call neuron_get_webhook_logs 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.

ParameterTypeRequiredDescription
id string Yes Unique identifier (UUID) of the webhook to get logs for
page number Page number for pagination (default: 1)
limit number Number of log entries per page (default: 20)

Parameters from the server's own tool schema.

Why neuron_get_webhook_logs is rated Low

This tool retrieves and presents webhook execution logs for observational purposes. It has no side effects—it neither modifies data, triggers external actions, deletes records, nor moves resources. The blast radius of misuse is minimal; an attacker could view webhook logs to understand bot interactions, but cannot perform operations beyond information disclosure. This is a clear Read category tool.

From the tool's definition 'Retrieve execution logs' indicates the tool queries and returns historical data about webhook executions without modifying, deleting, or executing external operations.

Questions about neuron_get_webhook_logs

What does the neuron_get_webhook_logs tool do? +

Retrieve execution logs for an inbound webhook to monitor incoming requests and debug processing issues. It is categorised as a Read tool in the Neuron MCP Server, which means it retrieves data without modifying state.

What parameters does neuron_get_webhook_logs accept? +

neuron_get_webhook_logs accepts 3 parameters: id, page, limit. Required: id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on neuron_get_webhook_logs? +

Register the Neuron MCP server in PolicyLayer and add a rule for neuron_get_webhook_logs: 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_get_webhook_logs? +

neuron_get_webhook_logs is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit neuron_get_webhook_logs? +

Yes. Add a rate_limit block to the neuron_get_webhook_logs 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_get_webhook_logs completely? +

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

neuron_get_webhook_logs 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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