data_status
Free: freshness and plausibility of every dataset.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Free: freshness and plausibility of every dataset.
| 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 full behavioral burden. It discloses that the tool is free and that it assesses freshness and plausibility across every dataset, but does not confirm read-only status, permissions, or output format.
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 wasted words. It is appropriately sized for a zero-arg tool.
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 no output schema and no annotations, the description is minimal. It says what the tool covers but not what is returned or how to interpret 'plausibility', leaving a gap for an agent unfamiliar with the tool.
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 takes zero parameters, so the baseline is 4; there are no parameters for the description to clarify.
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?
States that the tool reports freshness and plausibility of datasets, which is more specific than the name alone, but lacks a concrete verb and leaves 'plausibility' undefined. It distinguishes from domain data siblings by being a meta-status check.
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?
No indication of when to use this tool versus alternatives, or what prerequisites exist. The 'Free:' prefix implies no cost but is not usage guidance.
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.