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timps_load_testing

Generate k6, Artillery, or Locust load test scripts with ramp-up plans and Grafana dashboards from plain-English requests.

Instructions

Generate k6/Artillery/Locust load test scripts with ramp-up plans and Grafana dashboards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states that it 'generates' artifacts, but does not mention any side effects, prerequisites, or environmental changes (e.g., file creation, external tool dependencies, network access). The agent has no insight into what happens when invoking the tool beyond the abstract output.

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 a single, front-loaded sentence with no redundant content. It conveys the core functionality and key deliverables efficiently, earning a high score for conciseness.

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 tool is complex (supports multiple load testing frameworks and creates dashboards), but the description is minimal. It does not explain output format, file structure, or how the agent should interpret results. Given the presence of a request param for context, the description might be minimally viable, but it lacks details that could be expected for such a specialized tool.

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%, with both parameters having descriptions ('Plain-English task or context' and 'Primary programming language'). The description adds no extra meaning about how these parameters influence the output. Baseline 3 is appropriate because the schema already carries the parameter semantics.

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 explicitly states the tool generates load test scripts for specific tools (k6/Artillery/Locust) along with ramp-up plans and Grafana dashboards. This uses a specific verb (generate) and identifies the resource and deliverables, clearly distinguishing it from sibling tools like timps_api_perf_profiler or timps_test_intelligence.

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?

There is no guidance on when to use this tool versus alternatives. Given the large sibling list with many performance/testing tools, the absence of context or exclusionary criteria leaves the agent without decision support. The description simply states what it does, not when it's appropriate.

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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