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

No annotations are provided, so the description carries the full disclosure burden. It does state the return format (title + Markdown), but says nothing about auth, rate limits, JS-rendered pages, redirects, or failure behavior for a network-fetching 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 tight sentences with zero filler; the capability statement is front-loaded and the usage note follows immediately.

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 single-parameter fetch with no output schema, the description covers what it does and what it returns at a high level. Error/edge-case behavior is unaddressed, but the core call contract is clear.

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 there is a single param whose constraints (http/https, host required, no credentials) are fully documented in the schema. The description adds no further parameter detail, so baseline 3 applies.

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?

Cites a specific verb+resource (抓取单个网页) and explicitly states the return payload (页面标题与 Markdown 正文). It also names the sibling web_search and contrasts the scopes, so an agent can distinguish fetch-full-content from search.

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?

Gives clear context: use it to read the full content of a URL sourced from web_search results. This routes the agent to the right sibling, but stops short of stating exclusions (e.g., when not to fetch, or non-HTML targets).

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

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

With no annotations, the description carries the full burden, and it does disclose the shape of the return (structured results with ranking score, authority, timestamp). However it says nothing about rate limits, auth, pagination, or result-count caps beyond what the schema states, so the behavioral picture remains partial 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 sentences, front-loaded with what the tool does and what it returns, followed by the query grammar. Dense and free of filler, though the second sentence substantially restates the schema's query description rather than earning new space.

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 naming the returned fields (ranking score, authority, publish time). It is largely sufficient for calling the tool correctly, with the main remaining gap being routing against the sibling web_fetch.

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%, so all five parameters are already documented in the schema, including the same query-syntax list. The description's syntax sentence largely duplicates the schema's query description and adds no extra semantics, so the baseline 3 applies.

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 and resource ('使用 DeepSeek 搜索引擎搜索网页') and characterizes the return as structured results with ranking score, authority and publish time. It clearly reads as a search tool, implicitly distinct from the sibling web_fetch, but it never names or contrasts with that sibling explicitly.

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 when-to-use or when-not-to-use guidance and no mention of the alternative web_fetch for retrieving a known page. The only hint of usage is the query-syntax enumeration, which describes how to query rather than when this tool is the right choice.

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