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IAnjaniKr

jmeter-mcp-server

by IAnjaniKr

create_test_plan

Create a JMeter test plan with a default thread group, specifying target host, number of threads, and output file for load testing.

Instructions

Create a new JMeter test plan with a default thread group

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the test plan
protocolNoTarget protocolhttp
numthreadsYesRequired number of threads/users
outputfileYesPath where to save the .jmx file
targethostYesTarget host for HTTP requests
targetportNoTarget port (default: 80)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses only that the plan includes a default thread group; it does not state that a .jmx file is written to outputfile, whether existing files are overwritten, or any permission or side-effect considerations.

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?

Exactly one concise sentence, front-loaded with the action and object, with no redundant words and no attempt to repeat schema content.

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?

The schema covers all parameter semantics and the operation is low-complexity, so basic invocation is supported. However, with no annotations, no output schema, and a terse description, an agent is not told about file-creation or overwrite behavior, nor when this variant is preferred over source-based sibling tools.

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 coverage is 100%, so all six parameters are already documented with types, defaults, an enum constraint, and bounds. The description adds no parameter-specific meaning, so the baseline score of 3 applies.

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 states a specific action ('Create') and a specific resource ('new JMeter test plan'), and adds a meaningful detail ('with a default thread group'). It does not explicitly contrast this with the sibling tools create_test_plan_from_api_source and create_test_plan_from_openapi, though the source-based distinction is left to the tool names.

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 given about when to choose this base creation tool versus the source-based sibling tools, or when to follow up with add_http_sampler or update_thread_group. The usage context must be inferred from the tool name and sibling names.

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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