profile_memory_usage

Profile memory usage of attention computation

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/profile-memory-usage.md

WHAT IT DOES

What profile_memory_usage does on Claude MCP Server Ecosystem

AI agents call profile_memory_usage to retrieve information from Claude MCP Server Ecosystem without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why profile_memory_usage is rated Low

Profiling is a diagnostic read operation that samples and reports on memory consumption during attention computation. It retrieves performance metrics without side effects, altering state, or triggering external actions. This is purely observational in nature, fitting the Read category with low severity since misuse would only expose performance data.

From the tool's definition Tool name 'profile_memory_usage' and description 'Profile memory usage of attention computation' indicate observation and measurement of system metrics without modification or execution of external operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs profile_memory_usage safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Claude MCP Server Ecosystem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For profile_memory_usage, this is the rule to start with:

profile_memory_usage Allowed

profile_memory_usage is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "profile_memory_usage": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every profile_memory_usage call is checked against it from then on.

FAQ

Questions about profile_memory_usage

What does the profile_memory_usage tool do? +

Profile memory usage of attention computation. It is categorised as a Read tool in the Claude MCP Server Ecosystem MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on profile_memory_usage? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for profile_memory_usage: 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 Claude MCP Server Ecosystem. Nothing to install.

What risk level is profile_memory_usage? +

profile_memory_usage is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit profile_memory_usage? +

Yes. Add a rate_limit block to the profile_memory_usage 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.

How do I block profile_memory_usage completely? +

Set action: deny in the PolicyLayer policy for profile_memory_usage. 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.

What MCP server provides profile_memory_usage? +

profile_memory_usage is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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