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AIsa Backlinks

Backlinks Timeseries Summary

post_dataforseo_backlinks_timeseries_summary_live
Destructive

This endpoint will provide you with an overview of backlink data for the target domain available during a period between the two indicated dates. Backlink metrics will be grouped by the time range that you define: day, week, month, or year.

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

C2.8/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, destructiveHint=true, idempotentHint=false, openWorldHint=true, yet the description frames the tool purely as data retrieval ('provide you with an overview') and never reconciles the destructive/non-idempotent flags, nor mentions cost, rate limits, or side effects of a live call. The grouping mechanics it does describe are useful but are not behavioral disclosure beyond the schema.

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?

Two efficient sentences, front-loaded with the purpose and then the grouping behavior. No filler, though the second sentence restates grouping options that are already documented in the schema.

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 covers the core concept. However, for a live, open-world, destructive-flagged endpoint with a fully undocumented top-level parameter and no usage routing, an agent is left without enough to call it correctly or confidently.

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?

Top-level schema description coverage is 0% (single 'body' parameter), so the description must carry the parameter burden and largely does not: it alludes to 'two indicated dates' and 'day, week, month, or year' grouping, but says nothing about target formatting, tag, rank_scale, or include_subdomains. It adds only marginal meaning beyond the nested schema fields.

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 states a specific action (overview of backlink data) on a specific resource (target domain) with a stated grouping dimension, and the 'timeseries' framing helps separate it from siblings like post_dataforseo_backlinks_summary_live and ..._history_live. It stops short of explicitly naming what distinguishes it from those near-neighbors, so it is clear but not fully disambiguating.

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 guidance on when to pick this endpoint over the many sibling backlink endpoints (summary, history, new_lost, anchors, referring_domains). No prerequisites, no exclusion criteria, no alternative named. The reader must infer the choice 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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