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

No annotations are supplied, so the description carries the full behavioral burden. It does disclose the returned metric set and the platform-filtering capability, which is meaningful without an output schema, but it says nothing about authorization needs, data freshness, or return format for a data-aggregation read endpoint.

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?

Two sentences, front-loaded with tool identity and returned metrics followed by the trigger condition. The metric enumeration is dense but each item earns its place by telling the agent what data comes back; nothing is redundant filler.

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 simple single-optional-parameter tool with no output schema, the description does the necessary work by listing the returned metrics. It is close to complete, though it could note the filtering default or that all platforms are included when the parameter is omitted.

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% and the single 'platform' parameter is already documented as a 平台码 filter with a douyin example and empty=all. The description ('可按平台过滤') adds only a high-level restatement, so baseline 3 is appropriate.

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 states a specific verb+resource (数据中心总览 / data-center overview) and enumerates exactly which metrics are returned (accounts, followers, finished/published videos, plays, likes, comments, shares). No sibling tool produces an aggregated data overview, so an agent can distinguish it immediately.

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?

It gives explicit invocation triggers (用户问 '我的数据/涨粉/播放量怎么样' 时调用), which is clear when-to-use context. It does not name when-not to use it or point to any alternative sibling (e.g. get_point_balance, kgc_usage), so it falls short of a full 5.

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