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Alpha-Park

genpark-hybrid-bounding-box-ocr-table-reconstructor-skill

reconstruct_table_grid

Rebuild table grids from OCR bounding boxes, handling multi-column layouts, merged headers, and nested hierarchies for accurate structured data extraction.

Instructions

reconstruct table grid

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bounding_boxesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

D1.1/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden and supplies none of it. It says nothing about what 'reconstruct' does to the input, whether it requires OCR-like bounding-box data, output format, or side effects.

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

Conciseness2/5

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

It is short, but this is under-specification rather than conciseness — the phrase earns no informational place and omits everything an agent needs. Not misleading, just empty.

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

Completeness1/5

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

For a tool whose only required input is an undocumented structure of coordinate-bounded text boxes, with no annotations and no output schema, the description is wholly inadequate. An agent cannot infer the expected input semantics or the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single required parameter bounding_boxes is a nested array of objects with x0/y0/x1/y1/text fields. The description adds no meaning about what these boxes represent or how the reconstruction uses them, leaving the input format entirely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'reconstruct table grid' is a tautological restatement of the tool name with no added verb, scope, or outcome. It does not distinguish this tool from siblings like format_to_markdown or run_benchmark_table_reconstruction, so an agent learns nothing beyond the name itself.

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

Usage Guidelines1/5

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

There is no indication of when to use this tool, when not to, or which sibling to prefer. The siblings (format_to_markdown, run_benchmark_table_reconstruction) suggest overlapping table-processing tasks, yet no routing guidance is offered.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.