get_coverage_stats
Get real-time database coverage metrics, active scrapers, and record counts by country.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get real-time database coverage metrics, active scrapers, and record counts by country.
| 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 that metrics are "real-time" and enumerates the three categories of data returned, which partially substitutes for the missing output schema. It says nothing about cost, caching, auth, or the shape/format of the response.
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 sentence with no filler, front-loading the resource and then the specific data categories. Nothing could be removed without losing information.
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, no-annotation read tool with no output schema, the description covers the essentials by naming what the response contains. It would be stronger if it said whether the stats are global or scoped and roughly what a caller should do with them.
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 are no parameter semantics to explain — baseline 4 applies. The description correctly does not waste words on inputs.
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 a specific verb ("Get") and three concrete resources: coverage metrics, active scrapers, and record counts by country. This clearly distinguishes it from all siblings (company/succession detail getters and search tools), though it never names an alternative explicitly.
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?
Guidance is implied only: an agent can infer this is a diagnostic/pre-flight tool to check data availability before running searches. There is no explicit statement of when to call it, when not to, or what to use instead.
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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