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MattiooFR

Majestic MCP Server

get_backlinks

Retrieve detailed backlink data for any URL or domain to analyze referring domains, filter by topic or domain, and track link-building performance.

Instructions

Get detailed backlink data for a URL or domain

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemYesURL or domain to get backlinks for
datasourceNoIndex to usefresh
countNoNumber of backlinks to return (max 50000)
modeNo0 = all backlinks, 1 = one per referring domain0
filterTopicNoFilter by topic (e.g., 'Recreation/Travel')
filterRefDomainNoFilter by referring domain
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. It mentions 'detailed backlink data' but doesn't specify what that includes (e.g., link attributes, timestamps, metrics), potential limitations like rate limits, authentication needs, or whether the operation is read-only or has side effects. This leaves significant gaps for an agent to understand the tool's behavior.

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?

The description is a single, clear sentence that efficiently conveys the core purpose without unnecessary words. It's front-loaded with the main action and resource, making it easy to parse quickly.

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?

Given the tool's complexity (6 parameters, no annotations, no output schema), the description is insufficient. It lacks details on output format, error handling, usage context relative to siblings, and behavioral traits like performance or constraints. For a data retrieval tool with multiple parameters, this leaves the agent under-informed.

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 the schema already documents all parameters thoroughly. The description adds no additional meaning beyond the schema, such as explaining how 'item' is parsed or the practical implications of 'mode' settings. The baseline score of 3 reflects adequate coverage by the schema alone.

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 verb ('Get') and resource ('detailed backlink data for a URL or domain'), making the purpose specific and understandable. However, it doesn't explicitly differentiate this tool from sibling tools like 'get_ref_domains' or 'get_new_lost_backlinks', which also deal with backlink-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 sibling tools like 'get_ref_domains' and 'get_new_lost_backlinks' available, there's no indication of what distinguishes this tool's use case, such as comprehensive backlink details versus aggregated domain data or change tracking.

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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