identify_performance_bottlenecks

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden for behavioral disclosure. While it mentions the tool analyzes JTL files and returns formatted string results, it doesn't describe what constitutes a 'bottleneck', what analysis methods are used, whether the tool modifies files, what permissions are needed, or any performance characteristics. For a tool with no annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with a clear purpose statement followed by well-organized Args and Returns sections. Every sentence serves a distinct purpose: the first establishes the tool's function, while the subsequent sections document parameters and return values without redundancy. The formatting enhances readability while maintaining brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (which handles return value documentation) but zero annotation coverage and only basic parameter documentation, the description is minimally adequate. It covers the core purpose and parameter meaning, but doesn't address behavioral aspects like analysis methodology, error conditions, or integration with sibling tools. For a performance analysis tool with multiple similar siblings, more contextual guidance would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate for the schema's lack of parameter documentation. The description explicitly defines 'jtl_file' as 'Path to the JTL file containing test results', which provides essential semantic context beyond the schema's basic string type. However, it doesn't elaborate on file format requirements, path conventions, or example values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Identify performance bottlenecks in JMeter test results.' This specifies both the verb ('identify') and resource ('performance bottlenecks in JMeter test results'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'analyze_jmeter_results' or 'get_performance_insights', which might have overlapping functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'analyze_jmeter_results' and 'get_performance_insights' available, there's no indication of what distinguishes this bottleneck identification tool from those other analysis tools. No prerequisites, exclusions, or comparative context is mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.