Analyze TikTok hooks

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It mentions data is stored locally, which hints at a read-only local operation, but it does not disclose side effects, return format, or whether network/api calls are involved. Significant behavioral ambiguity remains.

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, front-loaded with the main verb and object. It contains no filler, but it is under-specified for a tool with six optional parameters and no other documentation. Brevity is not sufficient when critical information is missing.

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?

With six parameters, no output schema, no annotations, and zero schema descriptions, this description is far too sparse. An agent cannot infer what inputs are needed, what the tool returns, or how the comparison is performed. The tool is functionally opaque.

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% and the description does not explain any of the six parameters (tag, niche, caption, account_id, recency_days, maturity_days). Only 'caption openings' loosely maps to the 'caption' parameter, but no syntax, defaults, or relationships are described. The description fails to compensate for the schema's lack of parameter documentation.

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 'Compare caption openings against mature posts stored locally' clearly states a specific action (compare) and resource (caption openings vs mature posts), and distinguishes it from sibling tools like tiktok_post or tiktok_analytics. However, it lacks explanation of what constitutes 'mature posts' or 'hooks', so it is not fully precise.

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 provides no guidance on when to use this tool versus alternatives, and no exclusions or prerequisites. It simply states the function. Without context signals or examples, an agent cannot determine if this is the right tool for a given task.

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