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

No annotations exist, so the description carries the full burden. It discloses that the value reflects the latest ledger period and that the endpoint is free, which is useful context beyond structured fields, but it says nothing about freshness/window semantics, caching, or failure behavior for what is presumably a read-only metric.

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 compact sentence with no waste, and the metric identity is front-loaded before the free-endpoint note. Slight terseness works against it, as the phrase reads more like a label than an instruction.

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 and no parameters, the description must convey the return value, and it does ('number of new words'). The remaining gap is the absent sibling routing and any note on what 'latest ledger period' means in time, which would help an agent decide between this and ledger_words.

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 and the schema is empty, so there is no parameter semantics to describe; the baseline of 4 applies. The description correctly implies a no-argument snapshot call.

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 metric (the count of first-appearing new words in the latest ledger period) and marks it as a free endpoint, so an agent knows exactly what value comes back. It doesn't explicitly differentiate from the sibling ledger_words, so the agent must infer the split (pulse = count, words = list) from the name alone.

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 only usage signal is '(免费端点)' — free endpoint — which hints at cost but not at when to pick this over ledger_words or trends_rising. There is no stated condition, exclusion, or prerequisite for calling it.

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