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A company's logo or best icon from its domain (apple-touch-icon, SVG icon, largest favicon), with size, type, brand colour and site name; base64=true returns the image bytes too. Costs $0.002 USDC per call (x402).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
base64No
domainYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds real value beyond that: it discloses the paid cost ($0.002 USDC per call via x402) and the conditional behavior of base64=true, which the annotations do not carry.

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?

A single information-dense sentence with zero filler, front-loading the what (logo/icon from domain) and appending the flags, return fields, and cost. Well structured, though the long parenthetical and clause chain make it slightly heavy.

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 carries the return burden and does so by naming the returned fields (size, type, brand colour, site name) and the base64 option. It omits fallback/error behavior when no icon exists, which would matter for a best-effort scraper.

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 0%, so the description must compensate. It clearly explains base64=true ('returns the image bytes too'), but the required 'domain' parameter's format (bare domain? full URL?) is never specified, leaving half the semantics to inference.

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

Purpose4/5

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

The description states a specific resource (a company's logo / best icon from its domain) and enumerates the candidate sources (apple-touch-icon, SVG icon, largest favicon), so an agent knows exactly what it returns. It does not explicitly name a sibling (e.g., domain, url_metadata, screenshot) to differentiate against, but the resource is unambiguous.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer 'use this when you need a brand logo for a domain', but there is no explicit when-to-use, when-not-to-use, or alternative routing among the many sibling tools. This is minimum-viable guidance.

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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