Return top-K SkillMesh cards as structured JSON payload.
AI agents call retrieve_skillmesh_cards 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 performs a read-only query operation—it retrieves and returns SkillMesh cards (tool metadata/catalogs) in structured JSON format. There are no side effects, no data modification, no code execution, and no destructive or financial operations. The operation is non-disruptive and semantically equivalent to a 'list' or 'fetch' action.
From the tool's definition Tool name 'retrieve_skillmesh_cards' and description 'Return top-K SkillMesh cards as structured JSON payload' indicate a retrieval operation that queries and returns existing structured data without modification.
Documented attack patterns abuse exactly the kind of access retrieve_skillmesh_cards 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 retrieve_skillmesh_cards:
{
"version": "1",
"default": "deny",
"tools": {
"retrieve_skillmesh_cards": {}
}
}retrieve_skillmesh_cards is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Return top-K SkillMesh cards as structured JSON payload. 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 retrieve_skillmesh_cards: 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.
retrieve_skillmesh_cards 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 retrieve_skillmesh_cards 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 retrieve_skillmesh_cards. 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.
retrieve_skillmesh_cards 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.