Returns a complete, documented example of an agent configuration JSON with ALL possible fields explained. Use this as a reference when creating or editing agents. Every field includes a description of what it does, its type, valid values, and conditions. This is a read-only reference tool — it doesn
AI agents call example_agent to retrieve information from BotUyo MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and displays documentation/examples without creating, modifying, deleting, or executing any operations. It has no side effects and poses minimal risk as it only provides reference material for understanding agent configuration structure.
From the tool's definition Tool description explicitly states 'This is a read-only reference tool' and the function is to 'Returns a complete, documented example' of agent configuration JSON for reference purposes.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Returns a complete, documented example of an agent configuration JSON with ALL possible fields explained. Use this as a reference when creating or editing agents. Every field includes a description of what it does, its type, valid values, and conditions. This is a read-only reference tool — it doesn. It is categorised as a Read tool in the BotUyo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the BotUyo MCP Server MCP server in PolicyLayer and add a rule for example_agent: 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 BotUyo MCP Server. Nothing to install.
example_agent 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 example_agent 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 example_agent. 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.
example_agent is provided by the BotUyo MCP Server MCP server (marcoar1/botuyo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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