A
license-
qualityD
maintenanceMCP server providing IP address lookup capabilities. Enables AI assistants to fetch details about public IP addresses or the user's current device IP.
98
ISC
petalbot
by com.seoapi
Server Details
Validate whether an IP address belongs to PetalBot. Remote MCP server exposing a validate_ip tool.
- Status
- Unhealthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
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MCP client
Glama
MCP server
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Managed credentials
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Usage analytics
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Tool Definition Quality
A4/5.0
Tool DescriptionsA
Average 3.5/5 across 1 of 1 tools scored.
Server CoherenceA
Disambiguation5/5
With only one tool, there is no possibility of confusion or overlap, so disambiguation is perfect.
Naming Consistency5/5
The single tool follows a clear verb_noun pattern ('validate_ip'), and with only one tool there is no inconsistency.
Tool Count5/5
The server's purpose is narrowly focused on IP validation, and one tool is exactly the right scope for this task.
Completeness5/5
The tool fully covers the server's stated domain of validating PetalBot IPs, with no obvious gaps.
Available Tools
1 toolvalidate_ipValidate PetalBot IPAInspect
Check whether an IP address (IPv4 or IPv6) is a genuine PetalBot IP address, verified against PetalBot's published IP data on seoapi.com.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | The IPv4 or IPv6 address to validate |
Tool Definition Quality
A3.5/5.0
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 burden. It discloses that validation is against 'PetalBot's published IP data on seoapi.com', which adds source context. However, it does not mention error cases, rate limits, or what happens on invalid input.
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?
The description is a single, well-formed sentence that conveys the core functionality without unnecessary words. It is front-loaded and efficient.
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 has no output schema and no annotations. The description covers the purpose and data source but omits details on return format, error handling, or edge cases. For a simple validation tool, it is adequate but not comprehensive.
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%, with the parameter 'ip' already described as 'The IPv4 or IPv6 address to validate'. The description adds general tool-level context but does not add new semantic detail for the parameter beyond what the schema provides.
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?
The description clearly states the verb 'check whether' and the resource 'IP address (IPv4 or IPv6)' with a specific target 'genuine PetalBot IP address'. It is specific and unambiguous, and with no sibling tools, it distinguishes itself well.
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?
The description provides no guidance on when to use this tool vs alternatives. It does not mention prerequisites, conditions, or when not to use it. Since there are no sibling tools, some context on appropriate use cases would be beneficial.
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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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
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For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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