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Stresix

Start a load test

start_load_test

Load tests the user's app on a real cloud server and returns a run id. The target is a public or connected GitHub repository URL, or a Docker image. Lite is free once per GitHub account (500 users, 4 minutes). Standard (2,500 users, 10 minutes) costs 1 credit and Massive (10,000 users, 15 minutes) costs 3. A paid run is only started with confirm_spend set to true, and only after the user has agreed to the price. Without a tier it uses the free Lite run when the account still has it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
envNoEnvironment variables the app needs to boot, such as NODE_ENV or a test database URL. Stored encrypted and wiped after the run. Never send production secrets.
portNoThe port the app listens on inside its container. Read it from the code. Stresix tries 80, 3000, 5000, 8000 and 8080 when it is left out.
tierNoRun size. Leave it out to use the free Lite run when available.
pathsNoGET paths the simulated users rotate through, for example ["/", "/api/products", "/search?q=shoes"]. Pick pages that hit the database. Defaults to ["/"].
branchNoRepository branch to build. The default branch when left out.
targetYesGitHub repository URL (https://github.com/owner/repo) or a Docker image (nginx:1.27, ghcr.io/owner/app:tag).
confirm_spendNoSet to true only after the user agreed to spend credits on this run.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already declare a non-read-only, open-world, non-idempotent write, and the description adds substantial behavior beyond them: credit costs per tier, the free-tier eligibility rule, the confirm_spend gate tied to user consent, and the data-handling note that env vars are encrypted, wiped after the run, and must never hold production secrets.

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?

Front-loads the purpose, then covers target types, pricing, and the spend gate in four tight sentences with no filler. The tier pricing sentence is long but carries information not present elsewhere, so it earns its place.

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

Completeness4/5

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

With no output schema, the description correctly discloses the run-id return and covers the cost/consent decisions an agent must resolve before calling a 7-parameter tool. It is slightly thin on runtime expectations and the fact that the run is asynchronous and must be polled via the sibling status tool.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3; the description nonetheless adds meaning the schema lacks, particularly the cost/user-count/duration tradeoffs among lite, standard, and massive, and the consent semantics behind confirm_spend.

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?

States a specific verb and resource: 'Load tests the user's app on a real cloud server and returns a run id.' The starting/mutating nature is unmistakable against the read-only siblings get_test_status and get_test_report, and the mention of the returned run id signals the handoff to those tools.

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?

Gives explicit preconditions: paid runs require confirm_spend=true and prior user agreement on price, and omitting tier defaults to the free Lite run when still available. It does not name the sibling tools or say when to poll for status instead, so it falls short of full alternative routing, but the when-to-use conditions are unusually concrete.

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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