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

No annotations are provided, so the description carries the full behavioral burden. '查询' strongly implies a read-only operation and the field list describes what comes back, but it never explicitly states absence of side effects, required permissions, or rate limits. Adequate but thin for a no-annotation tool.

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 compact segments: the purpose and returned-metric list are front-loaded, followed immediately by the bracketed usage cue. Every element earns its place with no redundant padding.

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 output schema, the description usefully compensates by enumerating the fields the caller will receive. For a zero-parameter query tool this is nearly complete; only response format/pagination details are absent, which is a minor gap here.

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?

Zero parameters with 100% schema description coverage; per the rubric this is the baseline 4. There is no parameter meaning for the description to add.

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?

States a specific verb (查询), resource (门罗币全节点信息), and enumerates the returned metrics: height, sync status, difficulty, connections, DB size, mempool count, version. This breadth is distinguishable from narrower siblings like xmr_last_block and xmr_mempool_stats without naming them directly.

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 explicit 【何时用】 section gives three concrete user intents: checking node height, sync status, or network connectivity. It clearly signals the right context, but names no alternative tool and no when-not-to-use condition, 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.