Data sources and dates
data_sourcesWhich public files this data comes from, their snapshot dates, and what they do not cover.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
data_sourcesWhich public files this data comes from, their snapshot dates, and what they do not cover.
| 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 exist, so the description carries the full burden. It does disclose a useful behavioral trait — that the tool reports what the data does NOT cover, signaling limitations rather than just provenance — but it says nothing about output format, whether results are static or dated per snapshot, or read-only semantics.
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 tight sentence with the most important element (which public files) front-loaded and no filler. It is slightly under-specified rather than over-long, but nothing is wasted.
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?
With no parameters and no output schema, the description is the only source of return-shape information, and it lists the content categories but not the form (text vs. structured list) or granularity. For a simple zero-arg informational tool this is adequate but leaves the agent guessing about what it will actually receive.
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 there is nothing for the description to disambiguate; baseline 4 applies.
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 names the exact content the tool surfaces: source files, snapshot dates, and coverage gaps, which is clearly distinct from the lookup/search siblings. It lacks an explicit verb ('Returns...') and reads as a noun fragment, but the resource is unambiguous.
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?
There is no statement of when to call this tool, no mention of prerequisites, and no reference to alternatives among the sibling lookup tools. An agent must infer that this is a metadata/provenance lookup to consult before trusting results.
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.