Loads superglue skills into context. Available skills: ${skillIndexDescription} Some skills include additional tools that become available after loading.
AI agents call load_skill to retrieve information from Superglue MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and initializes skill definitions for use by the agent. It is a read operation that makes metadata/skill definitions available without side effects. Although loading skills may make additional tools available (which could execute operations), the load_skill tool itself merely fetches/instantiates existing definitions.
From the tool's definition Tool name is 'load_skill' and description states it 'Loads superglue skills into context.' The verb 'loads' indicates retrieval/instantiation of existing skill definitions without modifying data.
Documented attack patterns abuse exactly the kind of access load_skill gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Superglue MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for load_skill:
{
"version": "1",
"default": "deny",
"tools": {
"load_skill": {}
}
}load_skill is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Loads superglue skills into context. Available skills: ${skillIndexDescription} Some skills include additional tools that become available after loading. It is categorised as a Read tool in the Superglue MCP MCP Server, which means it retrieves data without modifying state.
Register the Superglue MCP server in PolicyLayer and add a rule for load_skill: 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 Superglue MCP. Nothing to install.
load_skill 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 load_skill 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 load_skill. 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.
load_skill is provided by the Superglue MCP server (superglue-ai/superglue). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Superglue MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
21 Superglue MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.