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Maybeyes111

google-scrape-mcp

by Maybeyes111

Google Translate

google_translate

Translate text between languages by specifying source and target codes via Google's unofficial gtx endpoint, no API key required.

Instructions

Translate text via Google's unofficial gtx endpoint (no key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
sourceNoauto
targetNoen

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
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the endpoint is unofficial and requires no API key, which tells the agent about auth expectations and reliability risk. However, it says nothing about rate limits, error/failure behavior, or supported language handling.

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 tight sentence with the core action front-loaded and no wasted words. Nothing to trim and nothing buried.

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 values need not be explained, and the tool is simple. Still, the undocumented language-code parameters and absence of any usage or behavioral guidance leave real gaps for an agent invoking it unaided.

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%, and the description never mentions 'text', 'source', or 'target'. Critically, it does not clarify that source/target are language codes or what format they take, nor the meaning of the 'auto' default — the schema field names alone leave ambiguity that the description should have resolved.

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 and resource ('Translate text') and identifies the mechanism used (Google's unofficial gtx endpoint). It is self-evidently distinct from the sibling tools, which are all search/finance/trend lookups, though it doesn't explicitly contrast itself with any of 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?

There is no statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The purpose is inferable from the name, but the description provides no routing guidance.

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