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ie_grid

Extract structured data from a webpage grid in IE mode. Returns rows as dictionaries with column headers, using automatic table detection or a specified table ID.

Instructions

Extract a tabular grid as structured rows. Auto-picks the table with the most multi-cell rows (or pass table_id). Returns headers + rows (header-keyed dicts when the header row is detected/given). App-agnostic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
frameNoframe/path holding the grid (e.g. '3/0')
limitNomax rows (default 500)
headersNoexplicit column names (optional)
table_idNospecific table element id (optional)
out_limitNomax output chars (default 12000)
Behavior4/5

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

Discloses that it auto-picks the table, returns headers and rows as header-keyed dicts, and is app-agnostic. No annotations present, so description carries full burden; it adequately covers read-only extraction behavior.

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?

Two concise sentences with no wasted words. Front-loaded with the core purpose, then details.

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?

Covers return format, auto-detection, and app-agnostic nature. Lacks details on error handling or what happens when no grid is found, but overall sufficient for a single-purpose extraction 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 coverage is 100%, so the description adds minimal additional meaning beyond the schema. The mention of auto-selection and return format provides some context but does not significantly enhance parameter understanding.

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 explicitly states 'Extract a tabular grid as structured rows' with a specific verb and resource. It distinguishes from siblings by focusing on grid extraction vs general text or HTML retrieval.

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?

Provides guidance on auto-picking the table or passing a table_id. Does not explicitly exclude other scenarios, but context is clear.

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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