Skip to main content
Glama

search_google

Read-only

Search Google with genre filtering (academic, news, technical, commercial, social) and optional persistence of full results to disk as JSON.

Instructions

Search Google with genre filtering. Genres: academic, news, technical, commercial, social. Supply output_path in the request to persist the full unsliced result set to disk as JSON and receive a slim response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYesDict with: query (required), num_results, search_genre, language, region, recent_days, content_limit (int), content_offset (int). Optional persistence keys: output_path (absolute file path, auto .json extension — full unsliced results written to disk BEFORE content_limit/content_offset slicing), include_content_in_response (bool, default False — when True keeps results in the response too, still subject to slicing), overwrite (bool, default False).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations declare readOnlyHint:true. Description adds optional disk persistence via output_path and slim response behavior, providing useful context beyond annotations.

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?

Two sentences, front-loaded with purpose and genres, and a second sentence for persistence. No wasted words.

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 existence of an output schema, the description adequately covers genre filtering and optional persistence. It omits details on result slicing but the schema covers that.

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 coverage is 100% with detailed descriptions for all sub-parameters. The tool description reinforces the output_path key but adds no new meaning beyond existing schema documentation.

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?

The description clearly states 'Search Google with genre filtering', listing specific genres. This distinguishes it from siblings like batch_search_google or search_and_crawl.

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

Usage Guidelines4/5

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

The description implies use for single Google searches with genre filtering but does not explicitly compare to sibling tools or state when not to use it.

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/walksoda/crawl-mcp'

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