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Gemini Analyze Url Tool

gemini_analyze_url_tool
Read-only

Analyze up to 20 URLs at once to answer questions about their content, with optional Google Search grounding for added context.

Instructions

Analyze one or more URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesList of URLs to analyze (1-20).
modelNoModel to use.flash
questionNoQuestion or instruction about the URL content.Analyze the content of these URLs.
use_google_searchNoUse Google Search grounding.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.0

TDQS

C2.3/5.0
Behavior2/5

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

readOnlyHint=true already establishes this is a safe read, so the safety profile is covered. Beyond that the description adds nothing: no note on the 1-20 URL batching, no indication of what the analysis returns, no cost/latency or rate-limit context.

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 front-loaded sentence with no wasted words, but its brevity reflects under-specification rather than efficient communication. Nothing misleading, just very thin.

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 the schema covers all four parameters. However, for a tool sitting in a crowded family of URL/text analysis siblings, the description supplies no disambiguating or operational context, leaving it incomplete for selection purposes.

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 urls, model, question, and use_google_search are all documented in the schema itself. The description adds no meaning beyond it, which makes the baseline 3 appropriate.

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

Purpose2/5

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

The description restates the tool name ('Analyze Url Tool' → 'Analyze one or more URLs') without saying what 'analyze' actually produces. It gives no differentiation from near-identical siblings such as gemini_compare_urls_tool or gemini_extract_from_url_tool, leaving the agent unable to tell 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?

There is no when-to-use guidance, no exclusions, and no mention of the obvious alternatives (compare_urls, extract_from_url). The agent must infer the use case entirely from the name.

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