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haandol
by haandol

finalize_visual_qa

Rebuild completed presentation with visual QA adjustments and generate final export. Call once after all fixes are done for a project.

Instructions

Rebuilds the deck container HTML + full export after visual QA fixes. No LLM call.

Call ONCE after all fix iterations are done.

Args: project_id: Target project ID (required).

Returns: JSON with project_id, slides_html_path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses 'No LLM call' and implies a build action, but does not detail side effects (e.g., overwriting previous exports), permissions, or error conditions. The return type is mentioned. This is adequate but lacks depth, warranting a 3.

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 extremely concise: two sentences plus optional args/returns. It front-loads the main action and usage constraint. Every sentence earns its place with no redundancy. This is an exemplary concise description.

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?

Given the tool's simplicity (one parameter) and the presence of an output schema, the description covers the essential purpose and usage. It lacks detail on what 'rebuilds the deck container HTML' entails (e.g., does it delete previous content?), but for a straightforward finalization step, it is sufficiently complete. Score 4.

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?

The description mentions the only parameter 'project_id' and states it is required, adding the modifier 'target' for context. The schema lacks parameter descriptions (0% coverage), so the description compensates minimally. However, it adds no additional meaning beyond the schema (type string, required). Score 3 is baseline for basic parameter mention.

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 ('Rebuilds the deck container HTML + full export') and context ('after visual QA fixes'). It distinguishes from sibling tools like ingest_visual_qa_fix and export_html, but does not explicitly differentiate from export_html or export_pptx, which are similar. A score of 4 is appropriate for clear purpose without explicit sibling differentiation.

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 explicitly states when to use: 'Call ONCE after all fix iterations are done.' This provides clear context. However, it does not mention when not to use or alternatives, so it scores 4 rather than 5.

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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