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sales_qualify_lead

PREMIUM ($0.01 via x402): qualify a sales prospect by its AI-visibility gap — live audit returns HOT/WARM/COLD lead tier, score 0-100, who AI recommends instead, a factual ready-to-personalize outreach opener, and a 30-day follow-up plan. For SDR/sales agents and agencies selling GEO/SEO/marketing services. Sends nothing itself.

Input Schema

NameRequiredDescriptionDefault
brandYesProspect brand or business name
marketNous|uk|de|jp|kr|fr|es|br|in, default us
categoryYesWhat the prospect's buyers search for, e.g. 'CRM software'
x_paymentNoOptional signed x402 payment payload (X-PAYMENT header value)
seller_serviceNoWhat YOU sell to this prospect (shapes the angle)

Schema Changelog

Changes observed during successful MCP inspections.

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TDQS

A4.1/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It usefully discloses the paid x402 cost, that it runs a live audit, the output contents, and importantly that it 'Sends nothing itself.' It omits payment-failure behavior, rate limits, and permission requirements.

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?

The premium/payment and core action are front-loaded, and the later sentences add useful audience and side-effect context. The first sentence is dense with output details, but every clause earns its place.

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?

No output schema exists, so the description must explain return values; it does so by naming the lead tier, score, competitor recommendations, outreach opener, and follow-up plan. It also covers cost and the no-send behavior, though it could say more about payment handling and error cases.

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 100%, so all five parameters are already documented in the schema. The description adds little parameter-level meaning beyond the schema, which is appropriate for the baseline but not above it.

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 and resource: 'qualify a sales prospect by its AI-visibility gap.' The description also enumerates the returned lead tier, score, competitor recommendations, outreach opener, and follow-up plan, making it distinguishable from simple AI-visibility checks and lead-enrichment siblings.

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 a clear audience and context: 'For SDR/sales agents and agencies selling GEO/SEO/marketing services.' It does not explicitly name when to use this versus siblings such as ai_visibility_index or b2b_lead_enrichment, so it stops short of full alternative routing.

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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