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performance_bottleneck

Detect performance bottlenecks Use when native shell timing (

SERVERHamza Agent Hub 252 SOURCEhamzachallenge3-dev/hamza-agent-hub-252
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/hamza-agent-hub-252/performance-bottleneck.md

What performance_bottleneck does on Hamza Agent Hub 252

AI agents call performance_bottleneck to retrieve information from Hamza Agent Hub 252 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why performance_bottleneck is rated Low

The tool description is truncated and uninformative beyond 'Detect performance bottlenecks Use when native shell timing ('. The primary action described is detection/analysis, which is a read/query operation. However, given the context of a multi-agent harness with shell integration, there's some possibility it could execute shell commands to gather timing data.

From the tool's definition Detect performance bottlenecks - the tool appears to analyze and report on performance issues

Questions about performance_bottleneck

What does the performance_bottleneck tool do? +

Detect performance bottlenecks Use when native shell timing (. It is categorised as a Read tool in the Hamza Agent Hub 252 MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on performance_bottleneck? +

Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for performance_bottleneck: 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 Hamza Agent Hub 252. Nothing to install.

What risk level is performance_bottleneck? +

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

Can I rate-limit performance_bottleneck? +

Yes. Add a rate_limit block to the performance_bottleneck 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 performance_bottleneck completely? +

Set action: deny in the PolicyLayer policy for performance_bottleneck. 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 performance_bottleneck? +

performance_bottleneck is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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