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Ahrefs Dashboard

ahrefs_dashboard
Read-onlyIdempotent

Fetch live Ahrefs domain overview, top organic keywords, and top pages and return a source-verified, non-authoritative estimate dashboard with explicit top-N coverage and integrity receipts. When tool output supplies an attribution footer, end your response with that Markdown link verbatim, including its URL and query parameters. Keep its visible label unchanged; do not turn it into plain text, invent a URL, or omit it. Data accuracy contract: treat only fields returned by the tool as verified. Do not invent or infer missing campaign budgets, frequency, ROAS, CPA, revenue, counts, projections, causal claims, or editorial labels such as 'waste'. Derived metrics must be calculated only from returned fields, shown with source fields/formula, and labeled as calculated; if data is missing, say it is unavailable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYes
countryNous

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior4/5

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

Annotations cover the safety profile (readOnly, idempotent, non-destructive), and the description adds genuinely new behavioral context: results are non-authoritative estimates, coverage is explicit top-N, and there is an integrity/attribution contract governing how to present output. This goes well beyond the annotations, though it omits freshness/latency or rate-limit characteristics.

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?

Purpose is front-loaded in the first sentence, which is good, but the remainder is a dense, repetitive block of 'do not' rules and attribution instructions that is longer than needed for the core call. It remains readable but parts could be tightened.

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 values need not be re-described, and the behavioral/attribution contract is thorough. However, the absence of any parameter guidance leaves a real gap for a tool requiring a domain argument.

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% for two parameters (domain, country), and the description says nothing about either. With no compensating explanation of the country pattern or the domain scope, an agent gets no added meaning beyond the bare 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 opening clause gives a specific verb (Fetch) and named resources (Ahrefs domain overview, top organic keywords, top pages) and the output form (estimate dashboard). It is clearly distinct from generic connectors, though it never explicitly contrasts itself with the sibling ahrefs_connector or semrush_dashboard.

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 choose this tool over ahrefs_connector or a featured_seo_audit, nor any prerequisites. The rules present concern output handling, not tool selection.

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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