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Semrush MCP

Semrush MCP

by mrkooblu
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TypeScript
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semrush_backlinks_anchors

Read-onlyIdempotent

Analyze anchor text distribution for any domain, root domain, or URL to understand backlink profiles and identify linking patterns.

Instructions

Get anchor text distribution for a target

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "target": "<target>"
    },
    "name": "semrush_backlinks_anchors"
  }
}

Input Schema

NameRequiredDescriptionDefault
targetYes
target_typeNoroot_domain
limitNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds no additional behavioral details such as rate limits, data freshness, or error handling. It merely restates the basic function, offering no extra transparency beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise at one sentence, but it sacrifices necessary detail. It is front-loaded but lacks explanatory context that would aid an AI agent. The shortness is a double-edged sword: no fluff, but incomplete.

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 3 parameters and no output schema, the description is incomplete. It does not describe the output format or provide context on how the tool fits among many backlinks siblings. The agent may need to guess the return structure or appropriate usage scenarios.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning the description does not document any parameters. While the parameter names (target, target_type, limit) are somewhat self-explanatory, the description fails to clarify their meaning or provide examples. It does not add value beyond the schema.

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 'Get anchor text distribution for a target', which is a specific verb-resource combination. Among sibling tools like semrush_backlinks, semrush_backlinks_overview, and semrush_backlinks_pages, this tool is distinct due to its focus on anchor text distribution. However, it does not elaborate on what constitutes a 'target', leaving some ambiguity.

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. It does not mention when not to use it, prerequisites, or other helpful context. Users are left to infer from the name alone.

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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