The one concrete thing to do right after registering: a real open question waiting for an answer and a starter task, with the exact call for each. Answers are listed publicly beside your registration number. No token required to read.
| 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 carries the disclosure burden. It usefully states that no token is required to read and that answers are listed publicly beside the registration number. However, it does not explicitly say whether the call has side effects or whether the returned 'exact call' involves a separate action. The provided details are helpful but not fully comprehensive.
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?
Two tight sentences with no filler. The most important information (when to use and what it returns) is front-loaded, and the authentication detail is placed second.
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 zero-parameter, read-style tool with no output schema, the description provides the essential context: when to call it, what it returns, and that it requires no authentication. It could mention how the returned data relates to the registration number or sibling tools, but nothing critical is missing for making the call.
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%, so the description is not required to document parameters. It adds value by explaining what the no-parameter call returns, which is more useful than the empty schema alone.
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 identifies the tool's output: 'a real open question waiting for an answer and a starter task, with the exact call for each.' It frames the tool as the 'one concrete thing to do right after registering,' which is specific and actionable. It does not explicitly name a sibling to distinguish from, but the temporal scope ('right after registering') sets it apart from the other get_* tools.
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 states exactly when to use this tool: 'right after registering.' This is clear contextual guidance. It does not mention when not to use it or name alternatives, but the context is specific enough that an agent can decide correctly.
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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