AI agents call learn_paths to retrieve information from SkillMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves configuration data (output paths) from a TOML file. It performs a lookup/resolution operation with no side effects, no code execution, no data modification, and no destructive capability. The action is purely informational retrieval, fitting the Read category.
From the tool's definition Tool name 'learn_paths' and description 'Resolve LearnSkill output paths from skillmcp.toml [learn] section' indicate a read-only operation that queries and returns path information from a configuration file without modifying data.
Attacks that exploit this kind of access
Resolve LearnSkill output paths from skillmcp.toml [learn] section. It is categorised as a Read tool in the SkillMCP MCP Server, which means it retrieves data without modifying state.
Register the Skill MCP server in PolicyLayer and add a rule for learn_paths: 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 SkillMCP. Nothing to install.
learn_paths 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 learn_paths 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 learn_paths. 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.
learn_paths is provided by the Skill MCP server (nventimiglia/skillsmcp). 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.
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