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TeamDay-AI

SE Ranking MCP Server

by TeamDay-AI

Backlinks All

DATA_getAllBacklinks

Retrieve a comprehensive list of backlinks for any target domain, host, or URL with advanced filtering and sorting options to analyze link profiles.

Instructions

Data Tool: Retrieves a comprehensive list of backlinks for the specified target, with extensive filtering and sorting options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoScope: 'domain' (incl. subdomains), 'host' (no subdomains), or 'url' (single URL). Default: host.host
limitNoMax results to return (1–10,000). Default: 100.
outputNoResponse format. Default: json.json
targetYesTarget to analyze: root domain, host (subdomain), or full URL.
order_byNoSort field: 'date_found' (most recent first), 'first.domain_inlink_rank', or 'first.inlink_rank'.date_found
per_domainNoNumber of backlinks per referring domain to return. If omitted, returns all backlinks (may exceed 100).
anchor_filterNoSubstring to filter 'anchor' by (ASCII, max 2063 chars).
url_to_filterNoSubstring to filter 'url_to' by (ASCII, max 2063 chars).
inlink_rank_toNoMax InLink Rank filter (0–100).
nofollow_filterNoBacklink type filter: 'nofollow_only' or 'dofollow_only'. If omitted, returns all.
url_from_filterNoSubstring to filter 'url_from' by (ASCII, max 2063 chars).
inlink_rank_fromNoMin InLink Rank filter (0–100).
anchor_filter_modeNoHow to match 'anchor_filter'. Default: contains.contains
url_to_filter_modeNoHow to match 'url_to_filter'. Default: contains.contains
url_from_filter_modeNoHow to match 'url_from_filter'. Default: contains.contains
domain_inlink_rank_toNoMax Domain InLink Rank filter (0–100).
domain_inlink_rank_fromNoMin Domain InLink Rank filter (0–100).
Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose any behavioral traits such as read-only nature, rate limits, or pagination behavior. The phrase 'comprehensive list' is vague and does not clarify if all backlinks are returned or limited (though limit parameter is present).

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 very concise at one sentence (16 words). However, it starts with 'Data Tool:' which is redundant and wastes space. It is front-loaded with the core action, but could be slightly more efficient without the prefix.

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 has 17 parameters and many siblings, the description is too terse. It does not explain the return value format (though output param handles it), typical use cases, or how to effectively leverage the filters. For such complex tools, more context is needed for an AI agent to use it correctly.

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 baseline is 3. The description adds no extra meaning beyond stating 'extensive filtering and sorting options,' which is generic. The individual parameter descriptions in the schema are detailed, so the description provides negligible additional value.

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?

Description clearly states the tool retrieves a comprehensive list of backlinks with filtering/sorting. The verb 'retrieves' and resource 'backlinks' are specific. However, it does not explicitly distinguish from siblings like DATA_getBacklinksRaw or DATA_getBacklinksCount, which might return similar data, so it misses full differentiation.

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?

No guidance on when to use this tool vs alternatives. There is no mention of prerequisites, when not to use it, or what scenarios are best suited for this tool. For instance, if a user only needs backlinks count, a sibling tool might be more efficient.

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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