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ebadAhmed10

JMeter MCP Server

by ebadAhmed10

execute_jmeter_test

Run JMeter performance tests from .jmx files to identify bottlenecks and generate insights. Supports non-GUI execution with configurable properties.

Instructions

Execute a JMeter test.

Args: test_file: Path to the JMeter test file (.jmx) gui_mode: Whether to run in GUI mode (default: False) properties: Dictionary of JMeter properties to pass with -J (default: None)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
test_fileYes
gui_modeNo
propertiesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'execute' implying a mutation, but lacks details on permissions, side effects, or behavior (e.g., what happens during execution, error handling). The GUI mode hint is minimal and doesn't cover execution outcomes or constraints.

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

Conciseness4/5

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

The description is front-loaded with a clear purpose sentence, followed by parameter details in a structured format. It's efficient with minimal waste, though the parameter section could be more integrated into the flow.

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

Completeness3/5

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

Given 3 parameters with 0% schema coverage and no annotations, the description is incomplete—it lacks behavioral context and usage guidelines. However, an output schema exists, so return values needn't be explained, raising it slightly above minimal adequacy.

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

Parameters3/5

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. It adds basic meaning by explaining parameters (e.g., 'Path to the JMeter test file (.jmx)'), but doesn't fully detail usage or constraints beyond defaults. This provides some value but leaves gaps, aligning with the baseline for partial compensation.

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

Purpose4/5

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

The description clearly states the verb 'execute' and resource 'JMeter test', making the purpose evident. However, it doesn't differentiate from sibling tools like 'execute_jmeter_test_non_gui', which appears to be a similar execution tool with a different mode.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'execute_jmeter_test_non_gui' or other siblings like 'analyze_jmeter_results'. The description only lists parameters without contextual usage advice.

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

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