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. It usefully discloses that navigation, ads, and scripts are stripped and that output is cleaned Markdown/text, but says nothing about JS-rendered pages, redirect/timeout/error behavior, auth-gated content, or size limits — notable gaps for a fetch 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?

A single, well-formed sentence that front-loads the action and scope, then the value-add (content cleaning) and output form. Nothing is padded or redundant.

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 two-parameter fetch tool with no annotations or output schema, the description covers what it does and the output flavor, but omits the third output mode ('summary'), and any failure/rendering behavior an agent would need to call it confidently.

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 the schema already documents both parameters, establishing a baseline of 3. The description only loosely echoes the output-format parameter and, notably, mentions just 'Markdown 或纯文本' while the enum also includes 'summary', so it adds no meaning beyond the schema and slightly under-describes it.

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 (抓取/lightweight fetch) and resource (指定网页的正文内容), and adds what distinguishes the result (自动剔除导航、广告与脚本). It is clearly a fetch tool rather than a search tool, but it never explicitly names or contrasts with its sibling devin_web_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?

There is no explicit when-to-use or when-not-to-use guidance. The word 轻量 hints at a lightweight/limited tradeoff but never states the condition (e.g. JS-heavy pages, pages needing rendering) or points to an alternative tool such as devin_web_search. The agent must infer routing from the phrase alone.

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 must carry the full behavioral burden; it does disclose the return shape (structured title, URL, summary) and a latency claim (亚秒级), and notes it connects directly to the Devin gateway. However it says nothing about authentication, rate limits, quota, or failure behavior, leaving meaningful gaps for a networked 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 sentences: the first front-loads the core identity and speed claim, the second gives query domains and return format. No filler, though the speed claim ('极速'/'亚秒级') is somewhat redundant with itself.

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 3-param search tool with no output schema and no annotations, the description covers purpose, applicable query types, return format, and latency. It omits auth/limit details, but nothing critical for correct invocation is missing.

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 already 100% (query, detailed, num_results are all documented in the schema), so baseline is 3. The description's '用自然语言' hint is effectively a restatement of the schema's own '搜索关键词或自然语言问题' text, adding no new parameter meaning.

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+resource ('极速全网实时检索') scoped to live whole-web search, and the query-domain sentence (technical docs, library versions, errors, OSS solutions) makes its remit unmistakable versus a page-fetch tool. It is inherently distinguishable from devin_web_fetch (single-page retrieval) and extract_devin_key.

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 gives clear usage context by enumerating the query types it targets (最新技术文档、库版本特性、报错与开源方案), which tells the agent when to reach for it. It stops short of naming an explicit alternative or any when-not-to-use condition, so it is context without exclusions.

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?

No annotations are provided, so the description carries the full burden. It does disclose that the scope is local credentials, which is meaningful context for an extraction tool, but it says nothing about side effects, permissions, whether it writes anything, whether the credential is returned or persisted, or any security considerations.

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 short sentence that front-loads the core action and resource, with the parenthetical kept brief. It is efficient, though the cross-repo alignment note adds little value for an agent deciding whether to call it.

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 zero-parameter tool with no annotations and no output schema, the description should at minimum say what comes back (a credential string) and any precondition such as a local Devin/Windsurf login existing. Neither is stated, leaving the agent unsure of the return value and failure conditions.

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 are no parameter semantics to explain; the baseline for a parameterless tool is 4. Nothing in the description misleads about inputs.

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 (提取/extract) and resource (本地 Devin / Windsurf 登录凭证), so an agent immediately knows this pulls local credentials. It is easily distinguished from the siblings devin_web_search and devin_web_fetch, which are unrelated web operations, though it does not explicitly name 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 statement of when to use this tool, when not to, or what alternatives exist. The parenthetical reference to fast-context-mcp's extract_windsurf_key is an implementation note, not usage guidance, and no prerequisites (e.g. that a local Devin/Windsurf install must exist) are given.

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