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google_videos

Destructive

当用户需要通过 Google Videos 搜索视频结果,或按地区、语言、位置、安全过滤、时间条件等获取视频搜索数据时触发。

Input Schema

NameRequiredDescriptionDefault
qYes定义想要搜索的查询内容。调用方必须提供非空值,不使用默认值。
glNo定义 Google 搜索要使用的国家/地区。它是一个两位数的国家/地区代码。例如 us 代表美国,uk 代表英国,fr 代表法国。
hlNo定义 Google 职位搜索要使用的语言。它是一个两位数的语言代码。例如 en 代表英语,es 代表西班牙语,fr 代表法语。
lrNo定义一个或多个将搜索限制在的语言。它使用 lang_{两位语言代码} 指定语言,并使用 | 作为分隔符。例如 lang_fr|lang_de 将仅搜索法语和德语的页面。
tbsNo定义常规查询字段中无法实现的高级搜索参数。
jsonNo定义采集结果的输出格式。1 返回 JSON 格式数据,2 返回 JSON+HTML 格式数据,3 返回 HTML 格式数据,4 返回 Light JSON。默认值为 1。1
nfprNo当原始查询拼写错误时,定义是否排除来自自动更正查询的结果。可以设置为 1 以排除这些结果,或设置为 0 以包含它们(默认)。
safeNo定义成人内容的过滤级别。可以设置为 active 或 off,默认情况下 Google 会模糊处理露骨内容。
uuleNo希望用于搜索的 Google 编码位置。uule 和 location 参数不能同时使用。
startNo定义结果偏移量。它跳过指定数量的结果,用于分页。该值取决于返回的结果数量,可以是 10 或 20。例如,移动端返回 10 条结果时,start 应为 10、20、30。
filterNo定义“类似结果”和“省略结果”的过滤器是开启还是关闭。可以设置为 1(默认)以启用这些过滤器,或设置为 0 以禁用这些过滤器。1
locationNo定义搜索发起的地理位置。如果有多个位置与请求的位置匹配,将选择最受欢迎的一个。
no_cacheNo默认情况下,5 分钟内缓存相同参数的搜索结果。设为 true 可跳过缓存,设为 false(默认)则使用缓存结果。缓存搜索免费,且不计入搜索统计。false
google_domainNo定义要使用的 Google 域名。默认为 google.com。google.com

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

Annotations declare destructiveHint=true, readOnlyHint=false and openWorldHint=true, but the description offers no behavioral context at all — nothing about credit consumption, the 5-minute cache that the schema mentions, rate limits, or why a search operation carries a destructive hint. With such a loaded annotation profile, the description should have carried more explanatory weight.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with the purpose front-loaded before the qualifying dimensions. No padding or repetition, though it is somewhat list-like in its enumeration of parameters rather than prioritizing the most important selection cues.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 14-parameter tool with no output schema, the description is thin: it omits result format/pagination behavior and the cost/credit implications hinted at by the destructive annotation and cache parameter. It is adequate as a trigger statement but not complete enough to call this tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with 14 fully documented parameters, so the schema does the heavy lifting and baseline 3 applies. The description only broadly gestures at 'region, language, location, safe filtering, time conditions' without adding syntax, format, or interaction detail (e.g., the uule/location mutual exclusion) beyond what the schema already states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb+resource combination ('通过 Google Videos 搜索视频结果') and enumerates the scoping dimensions it supports (region, language, location, safe filter, time). It is clearly distinguishable as a video-SERP tool, though it never contrasts itself with siblings such as bing_videos or youtube_video, so it falls short of full sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives trigger conditions ('当用户需要...时触发') and lists the situational dimensions, which is more than implied usage but stops short of explicit when-not guidance. No alternative tool is named for video searches (e.g., bing_videos for Bing, youtube_video for YouTube-native content), leaving the routing decision to inference.

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

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