Normalize skill validation failures for the client.
AI agents call explain_skill_error to retrieve information from Friday MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and processes error data to present it to the user. It has no side effects on the system, workspace, or data. There is no code execution, data modification, or destructive operation. The primary function is to retrieve and normalize (format) validation failure information, which is a Read category operation.
From the tool's definition The tool 'explain_skill_error' is described as normalizing skill validation failures for the client. This is a diagnostic/informational operation that retrieves and formats error information without modifying, executing, or deleting anything.
Attacks that exploit this kind of access
Normalize skill validation failures for the client. It is categorised as a Read tool in the Friday MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Friday MCP Server MCP server in PolicyLayer and add a rule for explain_skill_error: 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 Friday MCP Server. Nothing to install.
explain_skill_error 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 explain_skill_error 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 explain_skill_error. 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.
explain_skill_error is provided by the Friday MCP Server MCP server (jeremylakeyjr/mcp-server). 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.
Teams ship this data inside their own products. See what a licence covers →