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 server.
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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.
{
"version": "1",
"default": "deny",
"tools": {
"share_loadout": {}
}
}See the full Loaditout policy for all 21 tools.
These attack patterns abuse exactly the kind of access share_loadout gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
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.
Register the Loaditout MCP server in PolicyLayer and add a rule for share_loadout: 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 Loaditout. Nothing to install.
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 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 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). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Loaditout tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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