Coverage statistics
news_statsItem counts over the last 24 hours by kind, language, country and source, plus the current sync cursor.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
news_statsItem counts over the last 24 hours by kind, language, country and source, plus the current sync cursor.
| 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 readOnly, idempotent, and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context: the 24-hour measurement window and the inclusion of the current sync cursor.
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 filler; every clause (window, dimensions, cursor) carries information an agent would otherwise lack.
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 output schema and no parameters, the description must carry the return-value burden, and it does so adequately by naming the grouped counts and the sync cursor. It stops short of describing the shape of the counts (per-value vs total) or cursor format, but nothing essential to invoking the tool 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?
There are no input parameters, so the baseline is 4. The description's mention of kind/language/country/source refers to groupings in the output rather than inputs, which adds context without misrepresenting the schema.
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?
Names the concrete resource (item counts) and the exact dimensions aggregated over a defined window, so an agent can distinguish this stats tool from search_news, list_stories, or list_sources. The verb is implicit ('counts' rather than an explicit 'get/return'), which keeps it just short of a 5.
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?
Usage is implied by the narrow purpose (a zero-argument overview of coverage), but the description never states when to reach for this versus the sibling listing/search tools, nor any exclusions. Minimum viable guidance only.
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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