get_tiktok_content_detail

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

No annotations provided, so the description fully covers behavioral traits: exclusions (last 4 days excluded from metrics, pinned posts >90 days excluded), cost (2 credits), and special fields (audio metadata). This is thorough.

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 well-structured, starting with the main purpose, then detailing returned fields, exclusions, and cost. Each sentence adds value, though it could be slightly more concise.

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?

For a single-parameter tool with no output schema, the description fully explains what is returned, special cases, and cost. No gaps remain for effective use.

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 single parameter uniqueId is described with formatting rules (no '@', no URL) beyond the schema's type/description. Schema coverage is 100%, but the description adds practical usage guidance.

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 retrieves a TikTok creator's recent videos with per-item engagement metrics. The verb 'Get' and resource 'videos' are explicit. It distinguishes from siblings like get_tiktok_profile by focusing on content detail.

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 a use case (trending-sound analysis via audio metadata) but lacks explicit when-to-use or when-not-to-use guidance. It does not compare with siblings like search_tiktok_content.

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