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google: Web search results

google_search
Read-only

Web search results. Organic Google results for a query. Google blocks automated queries harder than any other source here, so this endpoint fails more often than the rest; a blocked attempt returns upstream_blocked and is not charged. Costs 1 credit.

Input Schema

NameRequiredDescriptionDefault
pageNo1-based page number
queryYes
regionNoTwo-letter country code (US, GB, DE, IN, ...) or a Google geo criteria idUS
date_postedNo
cache_max_ageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Annotations only cover readOnly and openWorld, so the description adds real value: Google blocks automation aggressively, this endpoint fails more often than others, a blocked call returns `upstream_blocked`, and that call is not charged. Cost (1 credit) is also disclosed. It stops short of describing result shape or pagination behavior, but the failure and billing semantics are the highest-value additions here.

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?

Three tight sentences, front-loaded with what the tool returns before the operational caveat. The opening "Web search results" slightly duplicates the title, but every remaining clause earns its place.

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?

With no output schema and 5 parameters at 40% coverage, the description should cover return shape and parameter meaning, and it does neither. It is complete on the operational risks (blocking, error code, billing), which is the harder part, but leaves an agent guessing about results and inputs.

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

Parameters2/5

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

Schema description coverage is only 40%, and three parameters (page, date_posted, cache_max_age) have no description at all. The description says nothing about query syntax, region codes, date_posted values, or what cache_max_age controls, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

"Web search results. Organic Google results for a query." gives a clear verb+resource and the word "organic" signals general web results rather than a vertical like news or shopping. It does not explicitly name google_news or google_shopping as alternatives, so the sibling differentiation is implied rather than stated.

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?

Usage is only implied: an agent can infer this is the general-purpose search endpoint, but the description never says when to prefer it over google_news, google_shopping, or google_mapsSearch, nor any exclusions. The only guidance is the failure warning, which is behavioral rather than selection 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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