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Brand from URL

brand_from_url

Extract a brand's public identity from a URL as JSON: name, description, logo image URLs, colours, fonts, and social profiles.

Instructions

Reads one public web page and returns the brand it publishes about itself, as JSON: name, description, logo image URLs, colours, fonts and social profiles. No JavaScript runs; robots.txt is respected. Costs 0.03 USDC per call (real money) on Base, paid from the buyer's wallet over x402 after the buyer's spending limits are checked. Give url: one public web page (http or https, standard ports). Output: JSON, returned in the tool result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoA public web page, usually the homepage.
save_toNoOptional local file path to save the result to (JSON).
overwriteNoReplace save_to if it exists. Default false.
allow_repeatNoBuy again even if the same request was bought in the last 10 minutes. Default false: the earlier result is returned and nothing is charged.
max_price_usdcNoOptional: refuse if Bacon asks more than this, in USDC.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior5/5

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

Discloses behavior the annotations cannot: a real 0.03 USDC charge per call on Base, paid via x402 from the buyer's wallet only after spending limits are checked, plus the repeat-purchase caching rule (allow_repeat=false returns the earlier result and charges nothing). It also states no JS execution and robots.txt compliance. Nothing here conflicts with readOnlyHint=false / destructiveHint=false / idempotentHint=false.

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

Conciseness4/5

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

Front-loads what the tool returns, then cost/safety behavior, then the single required input, then output placement. Dense but every sentence carries information; the only slight redundancy is restating that the result is JSON in both the first and last sentence.

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?

With no output schema, the description correctly spells out the return shape, and it covers pricing, caching and input eligibility. It stops short of failure behavior an agent would want — what happens when the page is unreachable, not HTML, or the wallet/price check fails, and how max_price_usdc and the save_to/overwrite options interact with a paid call.

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

Parameters4/5

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

Schema coverage is 100%, so the schema already documents all five parameters and the baseline would be 3. The description adds value beyond it by pinning the url contract (public page, http or https, standard ports) and by explaining the practical consequence of allow_repeat in money terms, which the schema only states mechanically.

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?

Names a specific verb and resource (reads one public web page, returns the brand it publishes about itself) and enumerates the exact return fields: name, description, logo image URLs, colours, fonts, social profiles. That is enough to separate it from siblings like image_palette (which extracts colours from an image) or quote (which prices a call).

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?

Gives concrete applicability conditions: the target must be a public page over http/https on standard ports, no JavaScript is executed, and robots.txt is respected. It never names an alternative sibling tool or states a when-not, but the input constraints effectively communicate where the tool will and won't work.

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