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safari_extract_tables

Extract HTML tables from Safari pages as structured JSON with headers and rows. Ideal for scraping data tables.

Instructions

Extract HTML tables as structured JSON (headers + rows). Perfect for scraping data tables.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
selectorNoCSS selector (default: 'table')
limitNoMax tables (default: 10)
Behavior3/5

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

No annotations provided. Description implies a read-only operation but does not explicitly state idempotence or side effects. Sufficient for a simple extraction but could be more transparent.

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 short sentences, zero waste. Front-loaded with verb+resource. Every word adds value.

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 two simple parameters and no output schema, the description provides sufficient context for the tool's purpose and usage. Could mention exact output JSON structure, but not necessary for a straightforward extraction.

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% (selector and limit already described). Description adds no additional meaning beyond schema, so baseline of 3 is appropriate.

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?

Description clearly states it extracts HTML tables as structured JSON with headers and rows. Distinguishes from sibling extraction tools (extract_links, extract_images, extract_meta).

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?

States 'Perfect for scraping data tables' which implies a specific use case, but no explicit when-not-to-use or alternatives. Nevertheless, the context is clear enough for selection.

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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