interzoid_identify_language
Identify the language of a given text string. Supports detection of numerous world languages. Cost: $0.01 USDC via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text snippet to identify the language of |
Identify the language of a given text string. Supports detection of numerous world languages. Cost: $0.01 USDC via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Text snippet to identify the language of |
Changes observed during successful MCP inspections.
Input schema / properties / text / examplesAdded value: +[
+ "Olá, tudo bem?"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context about cost ($0.01 USDC via x402) and breadth of language support, but does not disclose potential input limits, error behavior, or output format details. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. The core purpose is front-loaded, and the cost detail is a meaningful operational fact that earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter, read-only tool, the description combined with the schema and annotations is nearly sufficient. The main gap is the absence of output format details (e.g., whether it returns a language code, name, or confidence score), since there is no output schema to fill that gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the text parameter already has a clear description and example. The description adds no additional parameter-level meaning beyond restating that a text string is the input, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: 'Identify the language of a given text string.' It clearly conveys the tool's function and implicitly distinguishes it from translation siblings such as interzoid_translate_to_english, though it does not explicitly name any alternative tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives like translate_to_any or translate_to_english, nor does it mention exclusions or edge cases. The only additional context is cost and broad language support, which does not help an agent decide between this and related tools.
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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