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AIsa SEO & AI Visibility

Competitors

post_dataforseo_backlinks_competitors_live
Destructive

This endpoint will provide you with a list of competitors that share some part of the backlink profile with a target website, along with a number of backlink intersections and the rank of every competing website.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is largely covered by structured data. The description adds nothing beyond the return content: no live-vs-task semantics, no billing/credit implications, no latency or rate context for a POST live endpoint.

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?

One sentence, front-loaded with the resource and the payload contents, with no filler. It is efficient, though it could have spent one more clause on disambiguating it from the sibling intersection endpoints.

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?

An output schema exists, so return-value explanation is not required, and the description adequately says what is returned. What is missing is the operational context an agent needs to invoke a live POST endpoint confidently: cost, auth, and how it differs from the near-identical sibling tools.

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?

The single top-level parameter is the request body, and the description adds no parameter guidance of its own. However, the nested schema carries detailed per-field descriptions (target, limit, offset, filters, order_by, rank_scale, etc.), so the schema does the heavy lifting and the baseline of 3 applies.

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?

States a specific verb and resource ('provide you with a list of competitors that share some part of the backlink profile with a target website') and even names the returned fields (backlink intersections, rank). Clear purpose, but it does not distinguish itself from close siblings like post_dataforseo_backlinks_domain_intersection_live or get_semrush_backlink_competitors.

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?

There is no when-to-use guidance, no mention of when to prefer this over the intersection or referring-domains endpoints, and no prerequisites (credentials, cost, target formatting expectations). The agent is left to infer selection 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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