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GEO SEO Records

GEO SEO Records: offer and payment links

get_geo_offer
Read-onlyIdempotent

Returns the GEO SEO Records module (WordPress, PrestaShop, network edge; from €490 for a year): what it applies (door, map, answer, publisher) and what it measures (assistant reads certified by IP range, demand read in the log, paying pages joined to revenue), with prices and secure Stripe payment links. Docs: https://seorecords.com/assistants

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
languageNoLanguage of the product page (default en)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint=false, so the safety profile is covered. The description adds commercial context (pricing, Stripe payment links) but says nothing about response format, currency handling, or whether the offer is static. No contradiction with 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?

A single sentence that is front-loaded with the verb and resource, which is good. However, a large portion is promotional jargon ('door, map, answer, publisher', 'assistant reads certified by IP range') that does little to help an agent decide to invoke the tool.

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?

The tool is simple (one optional param, no output schema), and the description does convey that the response includes module details, prices, and payment links. But with no output schema, the description could more precisely describe the returned structure rather than relying on marketing framing.

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 coverage is 100% and the single 'language' parameter is fully documented in the schema with an enum. The description adds nothing about the language parameter, so the baseline 3 for high-coverage schemas 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+resource ('Returns the GEO SEO Records module') and clarifies the output ('with prices and secure Stripe payment links'). The topic is clearly distinct from siblings (readiness checks, llms.txt, robots.txt), though the description never names them explicitly and the marketing copy ('door, map, answer, publisher') muddies the core function.

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?

No guidance on when to call this versus the sibling tools. It gives no trigger condition, no exclusions, and no indication of when an agent should fetch the offer rather than run check_ai_readiness or draft_llms_txt.

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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