Skip to main content
Glama
Maybeyes111

google-scrape-mcp

by Maybeyes111

Google Books Search

google_books_search
Read-onlyIdempotent

Search Google Books by query and return scraped titles, URLs, and snippets for research, citation checks, or book discovery.

Instructions

Scrape Google Books Search (tbm=bks): title, URL, snippet.

engine: auto | http | proxy | browser (lihat google_web_search).

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
glNous
hlNoen
numNo
queryYes
startNo
engineNoauto

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.2

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open-world), so the description earns credit for adding rate-limit behavior on Google's side and the engine fallback options. This is real behavioral context beyond the annotations, though it doesn't describe pagination or blocking symptoms in detail.

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?

Front-loads what the tool returns, then the engine note and rate-limit caveat in two short lines. Efficient and low-waste, though the parenthetical cross-reference and mixed-language phrasing add slight friction.

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, so return-value explanation is not required, and annotations handle safety. But with 6 parameters at 0% coverage and only one parameter addressed in prose, the description is incompletely specified for an agent trying to invoke it precisely.

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%, so the description carries the full burden for six parameters. It only clarifies 'engine' (auto | http | proxy | browser), leaving query, gl, hl, num, and start completely undocumented in both schema and text.

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 (scrape) plus resource (Google Books Search) and even names the output fields (title, URL, snippet). The resource is distinguishable from siblings like google_scholar_search or google_patents_search by name, though the description does not explicitly contrast them.

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

Usage Guidelines2/5

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

Gives operational guidance on rate limits (avoid rapid repeats; when blocked, wait or switch to an RSS-based tool) and points at google_web_search for engine semantics. However it never states when to choose books search versus the many sibling search tools, which is the core selection question.

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