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Seo Backlinks

Seo Backlinks History

seo_backlinks_history
Read-onlyIdempotent

Backlink growth over time for <domain> — monthly history of backlinks, new/lost referring domains, and rank, via DataForSEO. "Is this domain gaining or losing links". Example: seo_backlinks_history({ target: "nike.com", date_from: "2024-01-01", _apiKey: "your-base64-key" })

Input Schema

NameRequiredDescriptionDefault
targetYesDomain, subdomain, or URL, e.g. "nike.com"
_apiKeyYesDataForSEO API key = base64("login:password")
date_toNoEnd date YYYY-MM-DD (default today)
date_fromNoStart date YYYY-MM-DD (min 2019-01-01; default 1 year ago)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "_apiKey": "your-seo-backlinks-api-key",
      +    "target": "nike.com"
      +  },
      +  {
      +    "_apiKey": "your-seo-backlinks-api-key",
      +    "date_from": "2023-01-01",
      +    "date_to": "2024-01-01",
      +    "target": "example.com"
      +  }
      +]
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, destructiveHint. Description adds details about returned data (monthly history, new/lost referring domains, rank) and a usage context. No contradictions. It doesn't mention rate limits or auth beyond schema, but the annotations cover safety adequately.

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 plus a concise example. Purpose is front-loaded and informative. Every part earns its place; no wasted words.

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

Completeness5/5

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

Despite no output schema, the description specifies the return data: monthly history of backlinks, new/lost referring domains, and rank. All parameters are covered in schema. For a simple historical data tool, this is complete.

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 well. The description adds an example and mentions date range, but no additional meaning beyond what the schema provides. Baseline 3 is appropriate.

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?

Description clearly states the tool retrieves monthly backlink history for a domain, including new/lost referring domains and rank. It uses specific verbs ('Backlink growth over time') and distinguishes from siblings like seo_backlinks_list, seo_backlinks_summary, seo_referring_domains.

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 includes an example and a question ('Is this domain gaining or losing links') that implies use, but does not explicitly state when to use this tool versus siblings like seo_backlinks_list or seo_backlinks_summary. No when-not or alternative guidance.

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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