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Maybeyes111

google-scrape-mcp

by Maybeyes111

Google Finance Quote

google_finance_quote

Fetch stock price, previous close, day high/low, and change from Google Finance for a specified ticker. Use to get current market data without an API key.

Instructions

Scrape Google Finance quote page: price, prev close, day high/low, change.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hlNoen
tickerYes
exchangeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.2

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing beyond the resource being scraped. It says nothing about rate limits, blocking/anti-bot behavior, auth needs, or whether the ticker must correspond to a known exchange listing - all material for a scraper.

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?

A single front-loaded sentence that states the action, the target, and the payload with zero filler. Nothing to trim and nothing important buried.

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

Completeness2/5

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

An output schema exists, so return values need not be described, but the definition leaves the two optional parameters entirely undocumented and omits all behavioral context for a scraper with no annotations. An agent knows roughly what it does but not how to call it safely or completely.

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% across all three parameters. The description hints only at the subject of the scrape (a quote page) and does not explain 'ticker' format, what 'exchange' does when the ticker is ambiguous, or that 'hl' controls language.

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 verb ('Scrape'), a specific resource ('Google Finance quote page'), and enumerates the returned fields (price, prev close, day high/low, change). No sibling tool covers finance quotes, so an agent can route here unambiguously from the name alone.

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?

There is no statement of when to use this tool versus any alternative, nor any exclusions or prerequisites. The use case (fetching a stock quote) is only inferable from the tool name and the listed fields, not from explicit guidance.

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