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

Annotations cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true) and the description adds concrete behavior: pagination with a default page size of 20, required country code format, and required date format. It still omits rate limits, error behavior, and what a creator record contains, but the added pagination and format context is genuine value beyond annotations.

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?

Front-loads the purpose and is reasonably tight, but includes filler ('for influencer marketing research or competitive analysis') and repeats schema-enforced formats with no prioritization of what matters most for correct invocation.

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 read-only ranking tool with no output schema, the description tells the agent what is ranked, by which metrics, and how results are paginated, which is sufficient to call it. Gaps remain around returned fields and rate limits, but the core invocation context is present.

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 100%, so the schema already documents all six parameters. The description reinforces country code format (lowercase ISO alpha-2, e.g., 'us'/'gb'/'de'), date format (YYYY-MM-DD), and granularity values (daily/weekly/monthly), which is useful but largely repetitive of what the schema declares.

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?

Specific verb (retrieves) plus resource (TikTok creator rankings from the CCI API), and it lists the engagement metrics returned. However, it never names or contrasts with sibling tools like nexscope_data_cj_creators_rankings_growth, nexscope_chuhaijiang_tiktok_creator_rankings_commercial, or nexscope_data_kd_creator_rank, which an agent would have to disambiguate unaided.

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?

States a use case ('influencer marketing research or competitive analysis') but gives no explicit when-not guidance or alternative-tool routing, which is a real gap given many overlapping creator-ranking siblings. Usage is implied rather than operationalized.

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