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

The description defines a read/list operation ('查询…API Token 列表'), yet annotations declare readOnlyHint=false and destructiveHint=true. Since the description carries the burden of clarifying behavior, this direct clash makes the safety profile undeterminable; the description also says nothing about whether secrets are returned or what permissions are needed.

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?

A single front-loaded sentence with no filler. It is appropriately sized for a zero-parameter query, though it stops short of any supplementary structure that would help an agent.

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 no parameters and no output schema, the description covers the essentials (what is returned: a token list for the current user). It omits scope/permission facts that matter for an API-key-bearing tool and leaves the annotation conflict unresolved, so it is only minimally adequate.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. The baseline of 4 applies; the phrase '根据请求 token' even hints that identity comes from the request context rather than an argument.

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 names a specific verb (查询/query) and resource (API Token 列表 of the current Dataify user), so an agent can tell it apart from siblings like query_user_balance, query_user_info and query_user_usage. It does not, however, explicitly contrast itself with those siblings.

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?

There is no guidance on when to call this tool versus the other query_user_* siblings, and no stated prerequisites beyond the implicit request token. The agent must infer usage entirely from the purpose statement.

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