Data freshness per source
get_statusImport status and data freshness per source. Check it before relying on very recent data.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_statusImport status and data freshness per source. Check it before relying on very recent data.
| 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?
Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so safety behavior is covered. The description adds the meaningful semantic that results reflect import/freshness state and may lag, which is real behavioral context beyond the structured fields.
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 short sentences, the resource is front-loaded and the usage cue follows with zero filler. Every clause earns its place.
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 tool with no output schema, the description covers what is being reported and why it matters ('per source' implies the breakdown). A brief note on the return shape would make it fully self-contained, but nothing needed to invoke it correctly is missing.
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 is nothing for the description to disambiguate and nothing is missing on the input side.
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 verb+resource ('Import status and data freshness per source'), which is concrete and distinguishable from the data-fetching siblings like events_list or filings_get. It is clear what the tool returns even though the name 'get_status' alone would be ambiguous.
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?
'Check it before relying on very recent data' gives an explicit trigger condition for calling the tool. It does not name any alternative or when-not-to-use case, but the positive guidance is clear enough to route an agent.
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.