my_exit
Judge the public IP this agent/server is calling from (its own network exit) — use it to check whether Claude / ChatGPT will accept the machine the agent runs on.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | en |
Judge the public IP this agent/server is calling from (its own network exit) — use it to check whether Claude / ChatGPT will accept the machine the agent runs on.
| Name | Required | Description | Default |
|---|---|---|---|
| lang | No | en |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It does disclose a meaningful trait: the tool reports the caller's own network exit rather than an arbitrary IP, and its output feeds a provider-acceptance check. It says nothing about return format, rate limits, or auth, so the gap is real but not fatal for a simple read-style tool.
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?
A single front-loaded sentence with no filler; the parenthetical clarifies scope immediately. The em-dash clause is slightly sprawling but earns its place by explaining the tool's purpose.
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?
There is no output schema and no annotations, so the description must stand alone. It conveys what the tool surfaces and why, but omits the lang parameter, the nature of the returned verdict, and any fallback behavior, leaving noticeable gaps for an agent deciding whether and how to call it.
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?
The sole parameter (lang, enum en/zh, default en) has 0% schema description coverage and the description says nothing about it. A reader cannot tell from the text that language selection exists, let alone its default. The enum is self-explanatory in the schema, but the description adds no compensating meaning.
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 states a specific resource (the public IP / network exit the agent is calling from) and clarifies it reports the caller's own exit rather than an arbitrary address. However, the verb 'Judge' is loose and it never differentiates itself from the sibling check_ip, which sounds like the same territory.
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?
It offers an implied use case ('use it to check whether Claude / ChatGPT will accept the machine the agent runs on'), which gives an agent a reason to call it. But it names no alternatives or exclusions against check_ip, ai_availability, or service_status, leaving the selection decision to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.