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perfsage-jmeter-mcp

by perfsage

generate_jmx

Generate an Apache JMeter 5.6.3 plan from a correlated flow and workload, outputting the JMX file path and inline XML for immediate use.

Instructions

Build an Apache JMeter 5.6.3 plan from a correlated flow and workload.

Use after correlate_flow. Accepts a flow object or a persisted flow_path. Returns the written path and inline jmx (or jmx_truncated when the XML exceeds 200_000 characters).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flowYes
workloadYes
output_pathNo
correlation_reportYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are present, so the description carries the full burden. It discloses the return value (written path and inline jmx) and the truncation behavior at 200,000 characters. However, it does not mention side effects like file overwriting, needed permissions, or failure behavior, leaving some important behavioral traits unclear.

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

Conciseness5/5

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

The description is compact and front-loaded: purpose, usage, then return behavior. Every sentence contributes meaningful information, and there is no redundant text. It fits the tool's complexity without unnecessary prose.

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

Completeness2/5

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

For a tool with 4 parameters (3 required) and a nested workload object, the description is too sparse. It omits entirely the required 'correlation_report' and the semantics of the workload parameters. Although an output schema exists, the input-side guidance is incomplete, leaving the agent to guess how to construct valid arguments.

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

Parameters2/5

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 for the input schema. It only clarifies that 'flow' can be an object or a persisted flow path, but it does not explain the required 'correlation_report' or the complex 'workload' object with its aliases and defaults. The 'output_path' parameter is also unmentioned.

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

Purpose5/5

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

The description opens with a specific verb and artifact: 'Build an Apache JMeter 5.6.3 plan from a correlated flow and workload.' It clearly distinguishes this from sibling tools like edit_jmx and run_test by indicating it is the generation step in a pipeline.

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

Usage Guidelines4/5

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

Explicitly states 'Use after correlate_flow', providing a clear workflow position. It also notes that the tool accepts either a flow object or a persisted flow path, which helps the agent choose the right input format. It does not explicitly name alternatives or exclusions, but the sequencing guidance is valuable.

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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