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Glama
mcp2everything

MCP2Tavily

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
search_webC

Search the web for information using Tavily API

search_web_infoC

从网络搜索用户查询的信息

get_url_contentC

Get the content from a specific URL using Tavily API

Args:
    url (str): The URL to extract content from
    
Returns:
    str: The extracted content from the URL
get_url_content_infoC

从指定URL获取网页内容

参数:
    url (str): 需要提取内容的网页地址
    
返回:
    str: 从URL提取的网页内容

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.5/5.0

Scored across 4 tools

Disambiguation1/5

The tool set has severe ambiguity issues, with two pairs of tools that appear to be exact duplicates in different languages. get_url_content and get_url_content_info seem to perform identical functions (extracting content from a URL), as do search_web and search_web_info (searching the web). An agent would have no reliable way to choose between these overlapping tools.

Naming Consistency3/5

The naming follows a mixed convention with some consistency issues. While all tools use snake_case, the pattern is inconsistent: two tools use simple verb_noun format (get_url_content, search_web) while two others add '_info' suffix (get_url_content_info, search_web_info). This creates confusion about whether the '_info' tools are different operations or just translations.

Tool Count2/5

With only 4 tools, this feels thin for a web search/content extraction server, but the real problem is that these represent only 2 distinct operations duplicated across languages. The effective tool count is just 2, which is insufficient for comprehensive web interaction capabilities that might include filtering, advanced search parameters, or content analysis.

Completeness2/5

For a web search/content extraction server, there are significant gaps in the surface. While basic URL content fetching and web search are covered, there's no support for filtering search results, specifying search parameters, handling different content types, or any advanced web interaction features. The duplication across languages doesn't add functional coverage, leaving the tool set incomplete for sophisticated web tasks.

Maintenance

ActivityInactive
ResponsivenessNo issues