sound_effects

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

No annotations provided, so the description must disclose behavioral traits. It only states 'Generate sound effects' without mentioning mutability, API key requirements, rate limits, or any side effects. This is insufficient for an AI agent to understand the tool's behavior beyond the basic action.

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 concise, consisting of two sentences. It front-loads the main purpose, followed by context and triggers. No unnecessary words, but it could include more behavioral details without being wordy.

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?

No output schema and no annotations. The description covers purpose and use cases adequately, but lacks details about output (audio file path, format) and the auto-save behavior noted in save_path's schema description. It is minimally complete for a simple tool but has gaps.

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 coverage is 100% with clear descriptions for all 4 parameters. The description adds no additional meaning beyond the schema; it repeats 'text descriptions' but does not elaborate on duration or prompt_influence. Baseline 3 for high coverage.

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?

Clearly states 'Generate sound effects from text descriptions using ElevenLabs.' This specifies the verb (generate), resource (sound effects), and source (text), making the tool's purpose unambiguous. It is distinct from siblings like text_to_speech or generate_music, though it does not explicitly contrast them.

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 lists use cases ('Great for game audio, video production, and creative projects') and trigger phrases, providing context for when to use. However, it does not explicitly state when not to use or provide alternatives, such as recommending generate_music for music.

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