About Netstate
get_site_infoWhat Netstate is, its pricing plans, API endpoints, FAQ and usage restrictions. Call this to learn what the site offers before using the data tools.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_site_infoWhat Netstate is, its pricing plans, API endpoints, FAQ and usage restrictions. Call this to learn what the site offers before using the data tools.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the burden. It discloses that the tool provides information about pricing, endpoints, FAQ, and restrictions, which is useful behavioral context. However, it doesn't state the format of the response (e.g., plain text, structured), or whether it makes external calls or is just static documentation. It could be more transparent about what 'info' entails.
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 sentence that is concise and front-loaded with the core purpose. It lists key content areas and gives a clear directive for usage. No wasted words.
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?
For a tool with no parameters and no output schema, the description is fairly complete. It covers what the tool does and when to use it. The only minor gap is the lack of detail on the return format, but given the simplicity, it's adequate.
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 tool has zero parameters, and schema coverage is 100% (no properties). The description adds value by indicating what information will be returned, which is enough for a no-parameter tool. Since there are no parameters to document, a baseline of 4 is appropriate.
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 tool's purpose: to learn about Netstate's offerings including pricing, API endpoints, FAQ, and usage restrictions. It uses a specific verb 'learn' and resource 'the site offers.' It doesn't explicitly differentiate from siblings, but it is clear what it does.
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 explicitly instructs to call this before using the data tools, giving clear usage context. It doesn't explicitly mention alternatives, but the siblings are data tools and this is a precursor, so the routing is clear.
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.