wechat-similar-account

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

With no annotations provided, the description carries the behavioral disclosure burden. It contributes useful transparency by revealing the 3-layer weighted matching system (40%/35%/25%) and implying a non-destructive recommendation behavior. Still, it omits output shape, failure scenarios, or data-source expectations.

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 compact and front-loads the purpose before explaining the algorithm and use cases. The trigger-word list is somewhat redundant, but it does not bloat the description.

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?

The description is incomplete for invocation: all three parameters are optional, none are semantically explained, and no output schema or return-value guidance exists. An agent can determine when to use the tool but not confidently know what inputs to provide or what response to expect.

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 schema descriptions are tautological ('accountId', 'accountName', 'accountType') and accountName is typed as a number, which is likely misleading. The tool description does not explain how these parameters map to the matching logic, which parameter should be supplied, or whether a specific identifier is required. Despite the reported 100% schema coverage, the actual semantic guidance is negligible.

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 identifies the tool as a WeChat Official Account benchmark/similar-account matching tool and specifies what it recommends: benchmark accounts and top accounts. It also states the matching mechanism, making it easy to distinguish from platform-specific siblings like douyin-similar-account and xiaohongshu-similar-account.

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 explicitly lists concrete use cases: account recommendation, benchmarking, account-starting reference, and placement selection, plus trigger words. However, it does not mention when not to use the tool or explicitly contrast it with alternative similar-account tools, so it stops short of a 5.

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