auto_lofi_effect

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

No annotations provided, so description carries full burden. It discloses background execution, job_id return, pipeline steps, and cost implications of 'verify' parameter. No contradictions.

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?

Well-structured with clear headings and bullet points. Information is front-loaded and each sentence adds value. Could be slightly more concise but still efficient.

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?

Covers all essential aspects: purpose, usage pattern, parameter details, pipeline description, monitoring instructions, and warnings. Complete for effective agent invocation.

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?

Schema description coverage is 0%, but description adds detailed meaning for both parameters: explains intensity values ('light', 'medium', 'heavy') with effects, and verify with cost trade-off.

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 applies a creative lo-fi/vintage effect to audio, with a specific pipeline and results. It distinguishes itself from other effect tools by naming the unique effect and mentioning background execution.

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?

Explicitly instructs when to use (apply lo-fi effect), what happens (runs in background, returns job_id), and what to use instead for monitoring (check_pipeline_status). Includes a warning not to call again if pipeline is running.

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