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Maybeyes111

google-scrape-mcp

by Maybeyes111

Google Trends Daily

google_trends_daily
Read-onlyIdempotent

Retrieve daily Google trending searches via RSS, including topic, traffic, and links. Space out requests to prevent blocking or rate limits.

Instructions

Google daily trending searches RSS (no block): topic, traffic, links.

Rate-limited by Google: avoid rapid repeats; when the result is blocked, wait or switch to an RSS-based tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hlNoen-US
geoNoUS

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.2

TDQS

B3.4/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, open-world, non-destructive behavior, so the bar is lower; the description still adds genuinely new context about Google rate-limiting/blocking and the retry-or-switch strategy. It stops short of describing pagination or result size, but the rate-limit disclosure is meaningful added value.

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?

Two short sentences, zero filler, with the core purpose and the return fields front-loaded ahead of the rate-limit caveat. Appropriately sized for a simple two-parameter feed tool.

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?

An output schema exists and annotations cover the safety profile, so return values and safety need not be explained. However, with two undocumented parameters and no guidance on locale/region semantics, the definition is adequate but leaves a real gap an agent would hit on first call.

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 0% for both parameters (hl, geo), so the description carries the full burden of explaining them — and it mentions neither. An agent gets no hint that hl controls language/locale or geo controls the region for the trend feed.

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?

States a specific verb+resource (daily trending searches) and enumerates the returned fields (topic, traffic, links), which distinguishes it from the sibling google_trends_interest (interest-over-time) without naming it. Clear, but the sibling differentiation is only implicit.

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?

Offers operational guidance on rate limits ('avoid rapid repeats', 'wait or switch to an RSS-based tool') but never says when to choose this tool over the closely related google_trends_interest. Usage context is implied rather than explicit.

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