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Gemini Extract From Url Tool

gemini_extract_from_url_tool
Read-only

Extract specific text, links, images, or structured data from a URL by defining custom fields and selecting a Gemini model.

Instructions

Extract specific data from a URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to extract data from.
modelNoModel to use.flash
data_typeNoType of data (text, links, images, structured).text
custom_fieldsNoComma-separated list of custom fields to extract.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.5/5.0
Behavior2/5

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

Annotations declare readOnlyHint=true, so the safety profile is covered, but the description adds nothing behavioral beyond that. It says nothing about the model options, fetch limits, auth requirements, or what an extraction actually returns.

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

Conciseness3/5

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

A single short sentence, front-loaded and free of filler, but it is terse to the point of under-specification rather than efficient. Nothing is wasted, yet nothing earns its place beyond restating the name.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, and annotations cover safety. However, with four parameters and a crowded field of URL/extract siblings, the description is too thin to let an agent invoke this tool confidently over its alternatives.

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 all four parameters (url, model, data_type, custom_fields) are already documented in the schema. The description contributes no additional parameter meaning, which is the expected baseline when the schema does the work.

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

Purpose3/5

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

States a verb (extract) and resource (data from a URL), which is a real action, but "specific data" is vague and it does not distinguish itself from close siblings like gemini_analyze_url_tool or gemini_extract_tool. An agent cannot tell from the description alone which URL tool to pick.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no mention of alternatives despite several overlapping siblings (analyze_url, extract, compare_urls, summarize_pdf). The agent must infer selection from the name alone.

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