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if530770

redfox-mcp-server

by if530770

doubao-websearch

Search the web through Doubao AI by submitting a question, and receive AI-generated search results in response.

Instructions

豆包 AI 联网搜索,输入问题返回AI搜索结果

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inquiryTextYes搜索问题

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.4

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It discloses that the tool performs an online AI search and returns an AI search result, which covers the core behavior. It omits any caveats, output detail, or limitations, but for a stateless search tool the basic behavior is stated.

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

Conciseness5/5

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

One short, front-loaded sentence states the brand, the action, and the input/output behavior without filler. Every word earns its place.

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

Completeness4/5

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

For a tool with one fully documented parameter and no output schema, the description names the return value ('AI搜索结果') and the invocation pattern. It lacks a more concrete output structure or usage context, but is adequate for a simple search tool.

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%, so the baseline is 3. The single parameter inquiryText is already documented as '搜索问题'; the description's '输入问题' adds no new format, constraints, or semantic detail beyond the schema.

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 clear action ('联网搜索') and resource ('豆包 AI'), and specifies the input/output contract: a question yields AI search results. It is unambiguous, but it does not explicitly differentiate doubao-websearch from sibling tools such as deepseek-websearch or kimi-websearch, so it falls short of full sibling distinction.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is provided. Given many sibling search tools (deepseek-websearch, kimi-websearch, toutiao-search, etc.), the agent is given no criterion for choosing this over alternatives.

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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