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project_export_visible_tables

Export visible tables from a Global Layout to CSV files, preserving column order and including sub-attributes like formula columns.

Instructions

📊 Export ONLY tables visible in a Global Layout (.lay file) to CSV files. Maintains exact column order and includes sub-attributes (formula columns). WORKFLOW: 1) List layouts with project_list_available_layouts, 2) User selects layout, 3) Load with project_load_global_layout, 4) Export tables with this tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesProject identifier returned by project_open
layoutFileYesFull path to the .lay file OR just filename if in project directory (e.g. 'tabelle_report.lay')
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: it exports to CSV files, maintains exact column order, includes sub-attributes like formula columns, and operates on visible tables from a layout file. However, it doesn't mention potential side effects, error handling, or output specifics, leaving some gaps for a mutation tool.

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 appropriately sized and front-loaded, starting with the core purpose and key features. The workflow section is useful but slightly lengthens the text; every sentence adds value, though it could be more streamlined by integrating the workflow more succinctly.

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 complexity (exporting tables with specific attributes), no annotations, and no output schema, the description does a good job covering purpose, usage, and key behaviors. However, it lacks details on output format (e.g., CSV structure, file naming), error cases, or permissions, which would enhance completeness for a mutation tool.

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 input schema already documents both parameters (projectId and layoutFile) adequately. The description doesn't add any additional semantic details about these parameters beyond what the schema provides, such as format examples or constraints, meeting the baseline for high schema coverage.

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?

The description clearly states the specific action (export tables to CSV files), the resource (tables visible in a Global Layout), and distinguishes it from sibling tools like project_export_all_tables by specifying 'ONLY tables visible in a Global Layout' and maintaining exact column order with sub-attributes. This provides precise differentiation from alternatives.

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

Usage Guidelines5/5

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

The description explicitly provides a step-by-step workflow that indicates when to use this tool (after listing layouts with project_list_available_layouts, selecting a layout, and loading it with project_load_global_layout). It also implicitly distinguishes from project_export_all_tables by focusing on visible tables only, offering clear contextual guidance.

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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