Return all available SkillMesh roles with installed status.
AI agents call list_skillmesh_roles to retrieve information from SkillMesh without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and lists configuration/metadata about available roles. It performs a read-only lookup operation that returns information without creating, modifying, deleting, or executing anything. The verb 'Return' and lack of any state-changing language confirms this is a Read category risk with minimal blast radius if misused by an agent.
From the tool's definition Tool name is 'list_skillmesh_roles' and description states 'Return all available SkillMesh roles with installed status' — a pure retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access list_skillmesh_roles gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SkillMesh, and nothing reaches the server without passing your rules. This is the rule we recommend for list_skillmesh_roles:
{
"version": "1",
"default": "deny",
"tools": {
"list_skillmesh_roles": {}
}
}list_skillmesh_roles is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Return all available SkillMesh roles with installed status. It is categorised as a Read tool in the SkillMesh MCP Server, which means it retrieves data without modifying state.
Register the SkillMesh MCP server in PolicyLayer and add a rule for list_skillmesh_roles: 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 SkillMesh. Nothing to install.
list_skillmesh_roles 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 list_skillmesh_roles 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 list_skillmesh_roles. 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.
list_skillmesh_roles is provided by the SkillMesh MCP server (varunreddy/skillmesh). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SkillMesh, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
5 SkillMesh tools catalogued and risk-classified — across an index of 43,000+ MCP servers.