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Web Search & Data API

serp_batch

Bulk web search: up to 5 search queries in a single call, each returning ranked title, URL, and snippet, with the same locale, freshness, and news filters as the single-query web search. One paid call instead of five for research fan-out. [$0.10/call]. Params — queries: up to 5 search queries separated by '|'; num_results: max results per query, cap 25; region: locale, e.g. us-en, uk-en, de-de; timelimit: restrict to past day/week/month/year (d|w|m|y); safesearch: string (on|moderate|off); mode: string (web|news); engine: search backend: auto (recommended) or yahoo/yandex (web); bing (news) Example params: {'queries': 'python asyncio tutorial|rust tokio tutorial'}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that the call is paid and mentions cost savings, but it does not explicitly state read-only behavior, side effects, rate limits, or failure modes. The read-only nature of a search is inferable but not stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and information-dense, covering purpose, output, cost, and all parameter options in a single paragraph. Some redundancy exists (e.g., referencing filters twice), but the structure is efficient and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity and the lack of an output schema or annotations, the description covers the main purpose, output shape, cost, and parameter values. However, it does not specify defaults, required parameters, error behavior, or pagination, leaving some gaps for an agent to infer before invoking.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema only exposes a free-form 'params' object with no properties, so the description provides essential semantics. It explains the 'queries' format with '|' separation, the 25-result cap, and allowed values for region, timelimit, safesearch, mode, and engine. It lacks defaults and required-field clarity but substantially compensates for the empty 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 clearly states the tool performs bulk web searches, accepts up to 5 queries per call, and returns ranked title, URL, and snippet for each. The verb 'search' and resource 'web' are explicit, and the outcome is defined precisely.

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

Usage Guidelines3/5

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

The description indicates the tool is for multiple web searches in one call and highlights a cost advantage ('one paid call instead of five'), but it does not explicitly state when to prefer this tool over similar siblings like serp or serp_multi, nor does it mention prerequisites or 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.

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