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deduble

MCP Gemini Web Search

by deduble

Batch grounded web search (parallel queries)

web_search_batch

Execute multiple web searches simultaneously. Get per-query success or failure status to validate each result.

Instructions

Run multiple web search queries in parallel. All queries are executed concurrently for faster results. Returns results for each query with individual success/failure status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoModel to use. Options: gemini-3-flash-preview (default), gemini-3-pro-preview, gemini-2.5-flash, gemini-2.5-progemini-3-flash-preview
queriesYesArray of queries to run in parallel (max 20)
timeoutNoPer-request timeout in milliseconds
verbosityNoOutput length: 'concise' (~4096 tokens), 'normal' (~16384 tokens), 'detailed' (~65535 tokens)normal
max_tokensNoOverride verbosity with exact token limit
include_sourcesNoInclude source citations and metadata in response

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.3.3

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It openly discloses concurrency ('All queries are executed concurrently') and partial-failure handling ('individual success/failure status'). It doesn't cover rate limits or quota effects, but for a search tool the disclosed behaviors are the most relevant ones.

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?

The description is two sentences with no filler. It front-loads the main purpose, then gives behavioral detail, then the return shape. Every clause earns its place.

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?

For a tool with 6 parameters and no output schema, the description provides the essential context: what it runs, that it runs in parallel, and what kind of result is returned. It doesn't mention the 'grounded' aspect from the title or explain source citation behavior, but that is handled by the include_sources parameter in the schema. Overall sufficient for an agent to invoke it correctly.

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 each of the 6 parameters is already documented in the schema. The description adds no parameter-level detail; it correctly relies on the schema rather than duplicating it, so the baseline 3 applies.

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 states a specific action ('Run multiple web search queries') and the key differentiator ('in parallel' / 'batch'), which clearly separates it from the sibling web_search tool. It also specifies what is returned (per-query success/failure status), making the tool's purpose unambiguous.

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 phrase 'multiple web search queries in parallel' plus 'for faster results' establishes a clear usage context: batch scenarios needing many searches at once. However, it doesn't explicitly say 'use web_search for a single query' or provide exclusion criteria, so it stops short of full alternative guidance.

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

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