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translate

Translate any text into any language instantly — 100+ languages supported. Professional quality translation powered by Groq's fastest models. Works for: business documents, messages, marketing copy, legal text, casual conversation, social posts, anything. Free, unlimited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to translate. Can be any length, any format.
toneNoOptional tone: 'formal', 'casual', 'business', 'marketing'. Default: match source tone.
source_languageNoSource language (optional — auto-detected if omitted).
target_languageYesTarget language. Full name or code: 'Spanish', 'Japanese', 'Arabic', 'fr', 'zh', 'de', etc.

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the burden. It mentions 'free, unlimited' and 'powered by Groq's fastest models', but does not disclose potential behaviors like rate limits, required authentication, or error handling. The description adds some context but leaves gaps.

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?

The description is two concise sentences. The first sentence presents the primary function and capacity, while the second lists use cases and claims. It is front-loaded, efficient, and contains no extraneous information.

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?

The description explains what the tool does but omits details about the return value (presumably translated text). Since there is no output schema, the description should clarify the output format. It also doesn't mention any edge cases or limitations. Adequate for a simple tool but incomplete.

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

Parameters3/5

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

Schema parameter descriptions are 100% complete, covering all 4 parameters. The description adds value by stating the tool handles 'any length, any format', but does not elaborate on parameter-specific nuances beyond the schema. Baseline 3 is appropriate.

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 clearly states the tool's purpose: translating text into any language. It specifies '100+ languages supported' and lists diverse use cases, making its function immediately clear and distinguishing it from potential alternatives.

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

Usage Guidelines4/5

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

The description implicitly guides usage by listing applicable scenarios ('business documents, messages, marketing copy...'), but lacks explicit when-not-to-use or alternative tool suggestions. Given the tool's specificity and no direct siblings, this is adequate but not exemplary.

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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TDQS

A3.5/5.0
Disambiguation3/5

Many tools have distinct purposes, but there are several overlapping or redundant tools (e.g., leadsignal vs leadsignal_generate, multiple code audit tools, multiple trading proposal/journal tools, and several 'universal' entry points like zambo_help, zambo_ask, zambo_universal). Descriptions help, but the volume creates ambiguity.

Naming Consistency3/5

Naming conventions vary across prefixes (zambo_, zambot_, axis_, presence_, trading_, etc.), with some tools using single words (weather, translate) and others using verb_noun patterns. Aliases like leadsignal_generate for leadsignal break consistency. While prefixes provide some grouping, the overall pattern is mixed.

Tool Count2/5

125 tools is excessive for a single MCP server, even if the server aims to be a universal stack. This makes it overwhelming for agents to navigate and increases the likelihood of misselection. Many tools could be split into domain-specific servers.

Completeness5/5

The tool surface is extraordinarily comprehensive, covering agent identity, cross-layer orchestration, code analysis, content generation, legal scanning, lead generation, trading, on-chain data, and more. Nearly any common agent task is supported with multiple tools, leaving few obvious gaps.

Resources