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mcp-server-domain-appraisal

evaluate_outbound_potential

Evaluate a domain's outbound sales potential by testing Category vs Brand risk, Flip vs Build model, and buyer persona strength.

Instructions

Runs the disciplined 2-minute outbound filter: tests Category vs Brand risk, Flip vs Build model, and buyer persona strength.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesThe domain name to evaluate for outbound sales
verticalYesThe business industry or niche (e.g. 'Hydrogen Energy', 'Coastal Tourism', 'AI Software')

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals the evaluation logic (three tests) but does not state whether the tool is read-only, what output or verdict it returns, or whether any external data is fetched. This is a meaningful gap for a tool with no annotation safety profile.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single, front-loaded sentence with no filler; every phrase identifies a distinct evaluation criterion. The only cost is unexplained internal terminology, but that is a clarity issue, not a conciseness issue.

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?

For a low-complexity 2-parameter tool the description is usable, but with no output schema and no annotations it should clarify what the filter produces (e.g., a recommendation, score, or pass/fail). Without that, the agent knows the tool's inputs and intent but not the shape of its result.

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% and the description adds no parameter-level detail beyond the schema. The description lists high-level criteria but doesn't explain how domain/vertical map to those tests, so a baseline 3 is appropriate.

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 it 'runs the disciplined 2-minute outbound filter' and names three tests, so an agent knows it evaluates outbound sales potential rather than doing generic appraisal or WHOIS lookup. However, 'Category vs Brand risk' and 'Flip vs Build model' are unexplained jargon, and it never explicitly contrasts itself with siblings, so it stops short of a 5.

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

Usage Guidelines3/5

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

The word 'outbound' and the buyer-persona test imply the tool is for outbound prospecting, but there is no explicit when-to-use or when-not-to-use guidance, nor any mention of appraise_domain or check_whois as alternatives. An agent must infer the decision context from the name and sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.