Skip to main content
Glama

web_search_advanced

Search multiple engines like DuckDuckGo, Bing, Google, and Baidu in parallel, then merge and deduplicate results with smart caching for faster retrieval.

Instructions

Advanced web search with multi-engine support and parallel searching.

Features:

  • Support for multiple search engines: DuckDuckGo, Bing, Google, Baidu

  • Parallel searching across multiple engines

  • Intelligent result merging and deduplication

  • Smart caching mechanism

  • Rate limiting protection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query string
max_resultsNoMaximum number of results (default: 10, max: 50)
enginesNoComma-separated list of engines (default: "duckduckgo,bing") Available: duckduckgo, bing, google, baiduduckduckgo,bing
parallelNoSearch engines in parallel (default: False)
use_cacheNoUse cached results if available (default: True)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries full burden. Mentions caching and rate limiting but does not detail error handling, fallback behavior, or result structure beyond features list.

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?

Brief, front-loaded with a clear header and bullet list. Every sentence adds value without redundancy.

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?

Given the tool's complexity and presence of output schema, description covers core features adequately. Missing some behavioral details but overall sufficient for understanding.

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 parameters are well-documented in schema. Description does not add significant extra semantics beyond naming the parameters in context.

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

Purpose5/5

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

Clearly states it is an advanced web search with multi-engine support and parallel searching. Distinguishes from sibling tools like 'web_search' by emphasizing advanced features.

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?

No explicit guidance on when to use this tool versus alternatives like 'web_search' or 'web_search_news'. The description implies usage through feature listing but lacks direct context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/quyansiyuanwang/oh-my-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server