get_local_setup

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It merely restates the tool's function without noting any side effects, return format, or prerequisites. For a simple getter, more transparency about the nature of the returned guidance would be expected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that delivers the core message. However, the parenthetical '(Video to Audio Converter)' is ambiguous and adds complexity without clear value, slightly reducing structure quality.

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

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

Given the tool's simplicity (0 params, no output schema), the description adequately states the purpose but leaves gaps about the exact content of the local-setup guidance and how it differs from the sibling tool. It is sufficient for basic invocation but lacks full context.

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

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

The tool has zero parameters, so the baseline score is 4. The description does not need to explain parameter semantics, and the empty schema aligns perfectly with the no-parameter requirement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns 'canonical local-setup guidance' for running the AI workflow on-device, using a specific verb and resource. It distinguishes itself from the sibling tool get_official_links by focusing on local setup rather than official links.

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

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

The description implies the tool is for obtaining local setup guidance, but it does not explicitly state when to use it versus alternatives like get_official_links. There is no exclusion or when-not guidance, so the usage context is implied rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.