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Brazilian to European Portuguese Localization

localizar-pt-pt

Rewrites Brazilian Portuguese text into European Portuguese (Portugal): vocabulary, gerund → 'a + infinitive', 'você'. Rule-based detection, local LLM rewrite, re-check of remaining BR markers. Returns unchanged text (free of LLM) when already PT-PT. Text not stored. Price: $0.01 per call (x402).

Input Schema

NameRequiredDescriptionDefault
textoYestext in Brazilian Portuguese

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses the pipeline (rule-based detection, local LLM rewrite, re-check), the no-op path that avoids the LLM, that text is not stored, and the $0.01/x402 cost. It stops short of stating the exact return shape (rewritten string vs. structured report), which is the main remaining gap.

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?

One dense paragraph, front-loaded with the transformation and its mechanics, followed by no-op behavior, privacy, and price. Every clause adds distinct information; nothing is repeated from the schema.

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

Completeness4/5

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

For a one-parameter tool with no annotations and no output schema, the description covers cost, data retention, and fallback behavior. Only the precise response format is left implicit, which is a minor omission given it hints that unchanged text is returned.

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 coverage is 100% and the single parameter already documents the expected input language and 4000-char cap, so the description adds no syntax or format detail beyond it. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb (rewrites) and resource (Brazilian Portuguese → European Portuguese) plus the concrete transformations applied (vocabulary, gerund → 'a + infinitive', 'você'). An agent immediately understands the transformation without opening the schema.

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

Usage Guidelines3/5

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

Implies usage (you have BR Portuguese text you want in PT-PT) and notes the no-op case when text is already PT-PT, but gives no explicit when-to-use/when-not framing and does not mention any alternative among chat-gpt-oss, detetor-ia-pt, margem, or verificar-anuncio.

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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