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vsl8
by vsl8

ansible-performance-baseline

Establish performance baselines for Ansible playbooks and detect regressions by running benchmark tests against specified hosts, with optional baseline storage for future comparisons.

Instructions

Establish performance baselines and detect regressions.

Args: host_pattern: Target hosts pattern project_root: Project root directory ansible_cfg_path: Ansible config file path inventory_paths: Inventory file paths benchmark_duration: Duration for benchmark tests in seconds store_baseline: Store baseline for future comparisons

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
host_patternYes
project_rootNo
store_baselineNo
inventory_pathsNo
ansible_cfg_pathNo
benchmark_durationNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are present, so the description must carry full burden. It implies the tool runs benchmarks and stores baselines (via 'store_baseline' parameter default true), but lacks disclosure of side effects, permission requirements, or state changes. Behavioral transparency is minimal.

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 concise: one sentence followed by an argument list. Each argument is on its own line, making it easy to scan. No wasted words, though the argument list is somewhat repetitive.

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 6 parameters (1 required) and an output schema (implied but not shown), the description covers the basic functionality but lacks explanation of parameter interactions or behavior when 'store_baseline' is false. It is minimally complete for a baseline 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?

With 0% schema description coverage, the description compensates by providing brief explanations for each parameter (e.g., 'Target hosts pattern', 'Project root directory'). These add basic meaning but lack details on constraints, formatting, or interactions. The coverage is adequate but not rich.

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 tool's purpose: 'Establish performance baselines and detect regressions.' This is a specific verb-resource combination. However, it does not distinguish itself from sibling tool 'ansible-capture-baseline', which likely has a similar purpose, reducing clarity in differentiation.

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. The description lists arguments but does not explain scenarios or prerequisites for use, leaving the agent without decision-making context.

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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