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Execute llmscout CLI subcommands to audit a live site's SEO and generative-engine performance, delivering 21 technical checks as structured JSON.

Instructions

Run the llmscout CLI (init/check/fleet subcommands).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The description only mentions the high-level action of running a CLI and provides example subcommands. It does not disclose potential side effects, permissions, output behavior, or any cautions. With no annotations, the description carries the full transparency burden and is insufficient.

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 a single, clear sentence that is front-loaded with the verb and resource. It is concise and free of unnecessary words, though it could be more informative within the same length.

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?

Running a CLI can be complex, but the description only lists three subcommands without explaining the purpose of llmscout or how output is handled. The output schema provides some coverage, but the description alone is not complete enough to fully guide an agent.

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?

The description offers example subcommands (init/check/fleet) that hint at valid values for the args array, but it does not explain how args should be structured or what additional arguments/flags are supported. With 0% schema description coverage, this partial guidance is helpful but incomplete.

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 clearly states that the tool runs the llmscout CLI and specifies the subcommands (init/check/fleet). This identifies the exact resource and action, and even though there are no siblings, it is specific enough to stand alone.

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

Usage Guidelines3/5

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

No explicit when-to-use or when-not-to-use guidance is provided. The only hint is that this tool runs a specific CLI, implying usage when llmscout commands need to be executed, but alternatives or exclusions are not mentioned.

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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