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Crawlora-org

Crawlora MCP

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brand_retrieve

Extract normalized brand data from any domain's homepage: get title, description, colors, logos, social links, and organization schema.

Instructions

Retrieve brand data by domain. Fetches a domain's homepage and extracts a normalized brand profile (title, description, colors, logos, backdrops, socials, links, and any schema.org organization data). Enrichment-only fields that are not present in the page markup are returned as null.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesDomain to retrieve brand data for, e.g. context.dev
force_languageNoAccepted for compatibility; not applied in HTML-only mode
maxSpeedNoOptimize for speed by skipping schema.org and footer-link extraction
maxAgeMsNoCache freshness window in milliseconds, clamps to 1 day..1 year
timeoutMSNoUpstream fetch timeout in milliseconds, clamps to 1000..300000
Behavior3/5

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

With no annotations, the description carries the full burden. It explains the fetch-extract behavior and null handling, but does not disclose error behavior, rate limits, or auth requirements. Adequate for a simple read tool.

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 sentences, front-loaded with the main action, followed by null handling. No superfluous information.

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?

No output schema, but description lists returned fields and explains null for missing enrichment data. Lacks explicit error handling details, but sufficient for the tool's scope.

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 description coverage is 100%, but the description adds value for 'force_language' (compatibility note) and 'maxSpeed' (skips extraction). This enhances understanding beyond the schema.

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?

The description clearly states the tool's purpose: retrieve brand data by fetching a domain's homepage and extracting a normalized brand profile. It lists specific extracted fields, distinguishing it from unrelated sibling tools.

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?

The description implies usage for obtaining brand data from a domain's homepage, and mentions that missing enrichment fields return null. No explicit when-not-to-use or alternatives are provided, but no direct competitors exist among siblings.

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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