AI agents call get_skill_details to retrieve information from Skill Cortex Lite without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves details about existing skills, which is a read operation with no side effects. Even though the description is empty, the naming convention strongly indicates a data retrieval function. Without evidence that it modifies, deletes, or executes code, it falls into the Read category.
From the tool's definition Tool name 'get_skill_details' suggests retrieval of skill information. Empty description limits certainty, but 'get_' prefix is characteristic of read operations that query and return data without modification.
Documented attack patterns abuse exactly the kind of access get_skill_details gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Skill Cortex Lite, and nothing reaches the server without passing your rules. This is the rule we recommend for get_skill_details:
{
"version": "1",
"default": "deny",
"tools": {
"get_skill_details": {}
}
}get_skill_details is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_skill_details. It is categorised as a Read tool in the Skill Cortex Lite MCP Server, which means it retrieves data without modifying state.
Register the Skill Cortex Lite MCP server in PolicyLayer and add a rule for get_skill_details: 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 Skill Cortex Lite. Nothing to install.
get_skill_details 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 get_skill_details 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 get_skill_details. 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.
get_skill_details is provided by the Skill Cortex Lite MCP server (sim-xia/skill-cortex-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Skill Cortex Lite, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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6 Skill Cortex Lite tools catalogued and risk-classified — across an index of 43,000+ MCP servers.