Skip to main content
Glama

batch_search_google

Read-only

Perform up to three Google searches in a single call, with options to control results count, genre, recency, and persist full results to disk as JSON.

Instructions

Perform multiple Google searches. Max 3 queries per call. Supply output_path in the request to persist the full result set to disk as JSON and receive a slim response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestYesDict with: queries (max 3), num_results_per_query, search_genre, recent_days. Optional persistence keys: output_path (absolute file path, auto .json extension — full result set written to disk), include_content_in_response (bool, default False — when True keeps results in the response too), overwrite (bool, default False).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations provide readOnlyHint=true, consistent with search. Description adds persistence behavior (writing to disk) and slim response, but lacks details on error handling or quota implications. No contradiction with 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 pack the core action, limit, and optional persistence, with no redundancy. Front-loaded with purpose and constraint.

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 rich schema descriptions and output schema existence, the description adequately conveys the core function. Missing behavioral details like error responses or handling of partial failures, but sufficient for typical use.

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%, with detailed parameter descriptions. The main description adds minimal extra value beyond schema, achieving baseline for a fully covered schema.

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 explicitly states it performs multiple Google searches with a max of 3 queries, clearly distinguishing it from single-query tools like search_google and crawling tools like batch_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 indicates when to use (multiple searches) but lacks explicit when-not-to-use or sibling comparisons. It implicitly suggests use for batch queries over single search but could be more direct.

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