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daekeun-ml

PowerPoint Translator

by daekeun-ml

translate_powerpoint

Translate PowerPoint decks to another language without changing formatting. Handles slide text, charts, glossaries, and offers cost estimates.

Instructions

Translate a PowerPoint presentation to the specified language.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoIf True, estimate cost without translating or saving the output file
model_idNoAmazon Bedrock Mantle model ID to use for translationopenai.gpt-5.6-terra
input_fileYesPath to the input PowerPoint file (.pptx)
output_fileNoPath to save the translated file (optional, auto-generated if not provided)
cache_backendNoTranslation cache backend: 'sqlite' (default), 'memory', or 'none'sqlite
glossary_fileNoPath to a glossary YAML file (defaults to ./glossary.yaml if present)
slide_workersNoMaximum parallel workers within this presentation
source_languageNo
target_languageNoTarget language code (e.g., 'ko', 'ja', 'es', 'fr', 'de')ja
enable_polishingNoEnable natural language polishing for more fluent translation
translate_chartsNoIf True, translate chart titles, axes, categories, and series names
slides_per_workerNoNumber of slides assigned to each worker
auto_detect_sourceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions only the translation action and says nothing about output file generation, cost estimation via dry_run, model selection, caching, or any side effects. For a tool that writes a translated file and has many tunable behaviors, this is a significant transparency gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single efficient sentence with no wasted words. It is front-loaded with the key action and resource. It is concise, though it sacrifices contextual details that other dimensions would need.

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

Completeness2/5

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

Given the tool's complexity (13 parameters, multiple translation options, output file handling) and the lack of annotations, the one-sentence description is inadequate. The output schema reduces the need to describe return values, but the description still fails to explain overall workflow, output side effects, or how this tool fits with its siblings. More context is needed for reliable invocation.

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 85%, so most parameters are already documented in the schema and the description does not need to repeat them. The description adds no extra meaning beyond stating the general translation goal, but the few undocumented parameters like source_language and auto_detect_source are not compensated for in the description either. Baseline of 3 is appropriate.

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?

The description clearly states the action ('Translate') and the resource ('a PowerPoint presentation') with a target language, making the tool's primary function obvious. However, it does not distinguish itself from siblings like translate_specific_slides or batch_translate_powerpoint, so the exact scope (whole deck vs. selected slides) is left implicit.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not say 'use for a single full deck' or exclude partial-slide translation, and it does not mention batch_translate_powerpoint for multiple presentations. The contextual choice is left entirely to inference.

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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