Get this agent's public profile including installed skills, trust score, usage stats, and profile URL. Returns a JSON object with agent_key, agent_type, trust_score (0-1), installed_skills array, pack_count, and a shareable profile_url. Use this to display the agent's current capabilities to the ...
Part of the Loaditout MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call share_loadout to retrieve information from Loaditout without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though share_loadout only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
share_loadout:
rules:
- action: allowSee the full Loaditout policy for all 21 tools.
Agents calling read-class tools like share_loadout have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
Get this agent's public profile including installed skills, trust score, usage stats, and profile URL. Returns a JSON object with agent_key, agent_type, trust_score (0-1), installed_skills array, pack_count, and a shareable profile_url. Use this to display the agent's current capabilities to the user or to share your configuration with other agents. No parameters required.. It is categorised as a Read tool in the Loaditout MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for share_loadout. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Loaditout MCP server.
share_loadout 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 share_loadout rule in your Intercept 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 Intercept policy for share_loadout. 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.
share_loadout is provided by the Loaditout MCP server (loaditout-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept