execute_jmeter_test_non_gui

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool 'supports JMeter properties' and describes default values for parameters, but lacks details on execution behavior (e.g., whether it runs synchronously/asynchronously, error handling, or output implications). It does not contradict annotations, but offers only basic operational context.

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 well-structured and appropriately sized. It starts with a concise purpose statement, followed by a bullet-point-like 'Args' section that efficiently documents parameters. Every sentence earns its place, though it could be slightly more front-loaded with key behavioral details.

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's complexity (5 parameters, nested objects) and lack of annotations, the description does a good job explaining parameters and basic operation. Since an output schema exists, it need not detail return values. However, it could improve by adding more behavioral context (e.g., execution flow or error scenarios) to fully compensate for missing annotations.

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?

Schema description coverage is 0%, so the description must compensate fully. It provides clear explanations for all 5 parameters: 'test_file' (path to .jmx file), 'properties' (dictionary for -J flag), 'generate_report' (boolean for dashboard), 'report_output_dir' (output folder), and 'log_file' (JTL file name). This adds significant meaning beyond the bare schema, covering all parameters effectively.

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: 'Execute a JMeter test in non-GUI mode - supports JMeter properties.' It specifies the verb ('Execute'), resource ('JMeter test'), and mode ('non-GUI'), but does not explicitly differentiate it from sibling tools like 'execute_jmeter_test' (which might be GUI mode or have other differences).

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. It does not mention sibling tools like 'execute_jmeter_test' (which might be for GUI mode) or 'analyze_jmeter_results' (for post-execution analysis), leaving the agent to infer usage context based on tool names alone.

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