my_agent
Read one of YOUR OWN agent templates in full, as its owner — including a DRAFT, which agent_info cannot see at all. agent_info serves the public catalogue projection (
This record as markdown: /tools/io-github-proagentstore-platform/my-agent.md
What my_agent does on ProAgentStore
AI agents call my_agent to retrieve information from ProAgentStore without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why my_agent is rated Low
Tool retrieves agent template data without modification or execution; limited to user's own resources.
From the tool's definition Read one of YOUR OWN agent templates in full
Attacks that exploit this kind of access
The rule that runs my_agent safely
PolicyLayer is an MCP gateway: it sits between your AI agents and ProAgentStore, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For my_agent, this is the rule to start with:
my_agent 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 ProAgentStore, apply this rule, and every my_agent call is checked against it from then on.
Questions about my_agent
Read one of YOUR OWN agent templates in full, as its owner — including a DRAFT, which agent_info cannot see at all. agent_info serves the public catalogue projection (. It is categorised as a Read tool in the ProAgentStore MCP Server, which means it retrieves data without modifying state.
Register the ProAgentStore MCP server in PolicyLayer and add a rule for my_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 ProAgentStore. Nothing to install.
my_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 my_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 my_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.
my_agent is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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