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IPIPAI MCP Server

IP Node Quality Score

score_ip_node

Score the quality and reliability of an IP/node using IP intelligence and network signals. Returns overall score (0-100), grade (A+ to D), 5-star ratings for AI/streaming/stability/security/network, recommended use cases, and warnings. Use this tool when the user asks whether an IP/node is high quality, clean, stable, or suitable for a specific network use case.

Input Schema

NameRequiredDescriptionDefault
ipYesIP address to score

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It does disclose the return shape (0-100 score, letter grade, five star ratings, use cases, warnings), which is useful, but says nothing about side effects, external intelligence sources or latency, rate limits, or failure behavior for invalid or unroutable IPs.

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?

Two sentences with the purpose and return payload front-loaded and the usage trigger at the end; no filler. The return-value enumeration is long but earns its place because there is no output schema.

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?

With no annotations and no output schema, the description compensates well by listing returned fields and stating the trigger condition. Residual gaps are the source of the IP intelligence, scoring determinism, and handling of invalid input, which an agent would need to call it confidently in edge 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?

There is a single required parameter and schema coverage is 100%, so the schema already fully documents 'ip'. The description adds no format guidance (IPv4 vs IPv6, private/reserved ranges), so it sits at the baseline for a fully-described 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?

States a specific verb and resource ('Score the quality and reliability of an IP/node') and enumerates the outputs, which separates it from pure lookups like lookup_ip. It does not distinguish itself from the sibling rate_ip_node, so the boundary between scoring and rating an IP node is left to inference.

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?

Explicitly says when to use it: when the user asks whether an IP/node is 'high quality, clean, stable, or suitable for a specific network use case.' That is concrete trigger language, but no when-not or named alternative (e.g., check_ip_reputation for a narrow reputation question) is given.

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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