Alias for get_my_available_compute(). When the user has not sized their workload yet, estimate_compute() should usually come first.
AI agents call get_my_available_computes to retrieve information from PlugLayer MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries available compute resources for the user—a read-only operation with no side effects. It simply returns information about existing infrastructure options without creating, modifying, or deleting anything. The context that 'estimate_compute() should usually come first' indicates this is part of an information-gathering workflow.
From the tool's definition Tool name 'get_my_available_computes' and description indicate it retrieves/lists available compute resources without modifying state. The alias reference and mention of 'estimate_compute()' as a prerequisite confirms this is a query/discovery operation.
Attacks that exploit this kind of access
Alias for get_my_available_compute(). When the user has not sized their workload yet, estimate_compute() should usually come first. It is categorised as a Read tool in the PlugLayer MCP Server MCP Server, which means it retrieves data without modifying state.
Register the PlugLayer MCP Server MCP server in PolicyLayer and add a rule for get_my_available_computes: 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 PlugLayer MCP Server. Nothing to install.
get_my_available_computes 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 get_my_available_computes 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 get_my_available_computes. 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.
get_my_available_computes is provided by the PlugLayer MCP Server MCP server (pluglayer/mcp). 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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