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translate_markdown

Translates README and docs content while preserving Markdown structure, links, and code fences.

Input Schema

NameRequiredDescriptionDefault
toneYesTone (0=Concise, 100=Detailed)
inputYesInput text (min 10 chars)
formatYesOutput format
contextYesTech context
audienceYesTarget audience
webSearchNoGround generation with real-time web search
managedModelNoPin a specific managed model (server-side allowlist)
responseFormatNoOutput structure: prose Markdown, or machine-readable XML
correctionsOnlyNoWrite mode: true fixes spelling, grammar and punctuation only; omitted or false improves the whole text (word choice, flow, clarity). Applies to optimize_text and to format "Optimize".
contextProjectIdNoGround generation on a Context Project's instructions/assets
customInstructionsNoOptional custom instructions

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose a real behavioral guarantee (structure, links, and code fences are preserved), which is useful and non-obvious, but it says nothing about permissions, rate limits, model selection behavior, or what form the response takes.

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 with no filler; every clause (scope plus the three preservation guarantees) earns its place.

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?

For an 11-parameter, 5-required tool with no annotations and no output schema, the description covers only the Markdown-preservation angle. The rich schema compensates on parameters, but the description leaves ambiguous why non-translation formats like 'Prompt' and 'Optimize' appear in the format enum, and it says nothing about what the tool returns.

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 description coverage is 100%, so the schema already documents all 11 parameters including enums and the tone scale. The description adds no syntax or format detail beyond the Markdown-preservation promise, so the baseline 3 applies.

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+resource (translates Markdown/README docs) and adds a distinguishing trait: preserving structure, links, and code fences. That implicitly separates it from translate_text, though it never names the sibling to make the distinction explicit.

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?

Usage is only implied by the narrow scope ('README and docs content'). There is no when-to-use statement, no condition for choosing this over translate_text or refine_translation, and no mention of prerequisites despite 5 required parameters.

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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