IPRout MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have clearly distinct purposes: one looks up the caller's own IP automatically, the other looks up a user-specified IP. There is no overlap in functionality.
Naming Consistency5/5Both tools use a consistent verb_noun pattern (lookup_caller_ip, lookup_ip) with snake_case, making the naming predictable and clear.
Tool Count3/5With only two tools, the server feels minimal. While it covers the essential operations for IP geolocation, the count is on the lower end of acceptable for a domain that could include additional lookups (e.g., bulk, range).
Completeness5/5The tool set provides complete coverage for its stated domain: retrieving GeoIP and ASN information for both the caller and a specified IP. No obvious gaps exist.
Average 3.7/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 2 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must fully disclose behavior. It only mentions output type (GeoIP, ASN) but omits error handling, response format, or any side effects. For a zero-parameter tool, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence with no wasted words. Could include more context, but meets conciseness standard.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description is minimal. It does not explain the output structure beyond 'GeoIP and ASN'. For a simple tool, it is adequate but could be improved with example output or data source mention.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist; schema coverage is 100%. Description adds no parameter details but is not needed. Baseline is high.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it looks up GeoIP and ASN for the caller IP as detected by IPRout. It distinguishes from the sibling tool 'lookup_ip' by specifying 'caller IP', implying this is for the current session's IP.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus the sibling 'lookup_ip'. Does not specify if this tool is for the current caller's IP only or if it can be used for other purposes.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It only states the basic function (lookup GeoIP and ASN) without mentioning any side effects, rate limits, data freshness, or that it may rely on external network calls. This is insufficient for a tool with no annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, well-structured sentence that immediately conveys the tool's action and scope. No filler or redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of the tool (single parameter, no output schema), the description covers the essential aspects: what the tool does, what input it requires, and the type of information it returns. It does not describe the return structure, but that is partially implied by 'GeoIP and ASN information'.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers the parameter 'ip' with 100% description coverage, including an example. The description adds meaning by specifying 'GeoIP and ASN information', which is not in the schema, and reinforces the type of IP addresses accepted (IPv4 and IPv6).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Lookup' and the resources 'GeoIP and ASN information for a specific IPv4 or IPv6 address'. It distinguishes from the sibling tool 'lookup_caller_ip' by indicating it works for any specified IP address, not just the caller's.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage: to get GeoIP and ASN for any IP. The sibling name 'lookup_caller_ip' provides context for when not to use this tool (i.e., for looking up the caller's own IP). However, no explicit when-not or alternative conditions are stated.
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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