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MattiooFR

Majestic MCP Server

get_index_item_info

Retrieve Trust Flow, Citation Flow, backlink counts, and key SEO metrics for domains or URLs using fresh or historic data.

Instructions

Get Trust Flow, Citation Flow, backlink counts and other key metrics for one or more URLs/domains

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesList of URLs or domains to analyze (max 100)
datasourceNoIndex to use: fresh (recent) or historic (5+ years)fresh
includeSubdomainsNoInclude subdomains in the analysis
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it mentions what metrics are retrieved, it doesn't describe important behavioral aspects like rate limits, authentication requirements, response format, pagination, or whether this is a read-only operation. The description is functional but lacks operational context needed for proper tool invocation.

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?

The description is a single, efficient sentence that communicates the core functionality without unnecessary words. It's appropriately sized for the tool's complexity and front-loads the key information about what metrics are retrieved and for what targets. Every word earns its place, though it could potentially benefit from slightly more structure for clarity.

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?

For a tool with 3 parameters, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what the returned metrics mean, how they're formatted, whether there are rate limits, or what authentication might be required. The agent would need to guess about important operational aspects when invoking this tool.

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?

With 100% schema description coverage, the input schema already documents all three parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain the significance of 'fresh' vs 'historic' data sources, why subdomain inclusion matters, or provide examples of valid URL formats. The baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the tool's purpose: 'Get Trust Flow, Citation Flow, backlink counts and other key metrics for one or more URLs/domains'. It specifies the verb ('Get'), resources ('metrics'), and targets ('URLs/domains'). However, it doesn't explicitly differentiate from sibling tools like 'get_backlinks' or 'get_ref_domains', which might provide overlapping or related data.

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?

The description provides no guidance on when to use this tool versus alternatives. With multiple sibling tools like 'get_backlinks', 'get_ref_domains', and 'get_top_pages' that might offer related metrics, there's no indication of when this comprehensive metrics tool is preferred over more specific ones. No prerequisites or exclusions are mentioned.

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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