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SEO Backlink List

seo_backlink_list
Destructive

Individual backlinks, one row each (SEO Intelligence add-on). For every link: the linking page and its title, which page of yours it points at, the anchor, dofollow or not, the surrounding sentence, page/domain authority, spam score, country and whether the link is broken. This is the raw link list — use it to audit a specific link, to check whether a link you paid for or earned actually exists, or to build a disavow candidate list. dofollow: "" (all), "true", "false". from_domain filters to one linking site. status_type: live / all / lost. order_by: rank, domain_rank, first_seen, last_seen, spam_score. Costs SEO add-on credits; top up → Add-ons.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
targetYes
refreshNo
dofollowNo
order_byNorank
from_domainNo
status_typeNolive

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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TDQS

A4.1/5.0
Behavior4/5

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

Annotations exist (destructiveHint=true, readOnlyHint=false, openWorldHint=true), so the safety bar is lower, yet the description still adds real behavioral context: it discloses that calls consume SEO add-on credits and points to the top-up path. It does not explain the refresh flag or reconcile the conservative destructive/idempotency hints, leaving a gap for an operation that looks like a read.

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?

Front-loaded with what one row contains, then use cases, then per-parameter values. Every sentence carries information, though the middle sentence is a long comma run that could be tightened.

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

Completeness4/5

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

An output schema exists, so return-field enumeration is partly redundant, but the description still supplies the credit-cost caveat, filter semantics, and use-case framing that structured fields lack. It is nearly complete; the undocumented refresh flag (presumably the credit-consuming crawl trigger) is the main omission.

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 0%, so the description must carry the parameter burden. It does explain allowed values for dofollow, status_type, order_by, and what from_domain filters, but leaves limit, target (the only required param), and refresh entirely undocumented — a substantial gap across 7 parameters.

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?

States a specific verb+resource+granularity: 'Individual backlinks, one row each', and explicitly distinguishes itself from the aggregate sibling by saying 'This is the raw link list'. An agent can tell it apart from seo_backlinks, seo_broken_backlinks, and seo_best_pages_by_links without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives three concrete use cases: auditing a specific link, verifying a paid/earned link exists, and building a disavow candidate list. It does not name an explicit alternative tool or state when-not to use it, so it stops short of full routing 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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