Specialized AI Search Tools
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
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
| Name | Description |
|---|---|
| websearchA | Search the web using various search engines (DuckDuckGo, Brave, Google, Bing, SerpAPI) with advanced filtering options. Returns a list of search results with titles, URLs, and snippets. |
| webfetchA | Fetch and parse HTML content from any URL. Extract text, headings, links, metadata, images, or use custom CSS selectors. Supports timeout configuration, custom user-agent, and redirect handling. |
| typeconversionB | Convert data between different formats: JSON, XML, YAML, CSV, and TOML. Supports pretty printing, minification, and format-specific options like CSV delimiters and headers. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: typeconversion handles data format transformations, webfetch retrieves and parses HTML from specific URLs, and websearch performs web searches across multiple engines. The descriptions make it easy for an agent to differentiate between converting data, fetching web content, and searching the web.
The naming is mostly consistent with a clear pattern of descriptive, single-word names (typeconversion, webfetch, websearch) that are readable and intuitive. However, there is a minor deviation as 'typeconversion' is a compound word while the others are prefixed with 'web', slightly breaking uniformity.
With 3 tools, the count is well-scoped for a specialized AI search server, covering key areas like data conversion, web content fetching, and web searching. Each tool earns its place by addressing distinct needs without being too sparse or overwhelming.
The tool set covers core functionalities for AI search tasks: data handling, content retrieval, and search operations. A minor gap exists in not including tools for advanced search result processing or integration with other AI models, but agents can work around this with the provided tools.