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TeamDay-AI

SE Ranking MCP Server

by TeamDay-AI

Fetch Backlinks in Batches

DATA_getBacklinksRaw

Retrieve all backlinks for a target domain, host, or URL using cursor-based pagination to handle large datasets efficiently.

Instructions

Data Tool: Returns all backlinks pointing to a target using cursor-based pagination for large datasets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoScope: 'domain' (incl. subdomains), 'host' (no subdomains), or 'url' (single URL). Default: host.host
nextNoCursor for the next page of results. Do NOT include for the first request.
limitNoMax results per page (1-100,000). Default: 10,000.
outputNoResponse format. Default: json.json
targetYesTarget to analyze: root domain, host (subdomain), or URL.
order_byNoSort field: 'date_found' (most recent), 'first.domain_inlink_rank', or 'first.inlink_rank'.date_found
per_domainNoNumber of backlinks per referring domain to return. If omitted, returns all.
Behavior3/5

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

Without annotations, the description carries full burden. It discloses cursor-based pagination and returns all backlinks but lacks details on side effects, rate limits, or authentication. For a read-only data tool, this is adequate but not rich.

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?

Single sentence that is front-loaded with the tool's purpose and pagination mechanism. Every word contributes value; no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters and no output schema, the description could provide more guidance on pagination flow or response structure. It is adequate for a simple listing but lacks completeness for complex iteration.

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. The description adds context by mentioning cursor-based pagination related to the 'next' parameter, but otherwise does not add significant meaning 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 returns all backlinks pointing to a target using cursor-based pagination. It specifies the resource (backlinks) and action (returns), and distinguishes from sibling tools like DATA_getBacklinksCount or DATA_getBacklinksAnchors.

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?

The description implies usage for large datasets via pagination but does not explicitly provide guidance on when to use this tool versus alternatives like DATA_getAllBacklinks or other backlinks tools. No when-not-to-use or exclusion criteria are given.

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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