ip_location
Query location details like country, province, city, and district from an IP address.
Instructions
根据IP地址查询位置信息
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | 要查询的IP地址 |
Query location details like country, province, city, and district from an IP address.
根据IP地址查询位置信息
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | 要查询的IP地址 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry behavioral disclosure. It only states the tool queries location, without mentioning whether it is read-only, requires authentication, or has any side effects. The implicit read-only nature is plausible but not stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence with no redundant words. It is appropriately concise for a simple tool with one parameter.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the absence of an output schema, the description does not describe the return format (e.g., city, country, coordinates). For a location lookup tool, this omission leaves some uncertainty about the response structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the parameter 'ip' is described in the schema as 'IP address to query'. The description adds slight context by restating the purpose, but does not add new information beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('query') and resource ('location information') with a specific method ('based on IP address'). It effectively distinguishes from the sibling tool 'latlng_location' which likely queries by coordinates.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 versus alternatives, nor does it mention usage contexts or exclusions. The agent must infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/v5tech/mcp-server-location'
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