News categories
categoriesThe category slugs and labels you can filter by (also topics for latest_news).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
categoriesThe category slugs and labels you can filter by (also topics for latest_news).
| 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=true and openWorldHint=false, so the safety and locality profile is covered and the bar is lower. The description adds only that the values are usable as filter slugs/labels and as topics for latest_news — a small conceptual clarification, but nothing about whether the list is static, exhaustive, or how it maps to filtering behavior.
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 zero waste, front-loading the resource (category slugs and labels) before the secondary note about latest_news topics. It reads as a fragment rather than a structured statement, but nothing could be cut without losing meaning.
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, no output schema, and read-only annotations, the description covers what an agent needs: what the tool returns (slugs and labels) and what it is for (filtering, plus topics for latest_news). The only minor gap is that it doesn't state the return container or whether all categories are always returned.
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 by rule. The description correctly implies the call is parameter-free and returns the enumeration itself, with no misleading parameter claims.
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 category slugs and labels you can filter by" names a concrete resource (category slugs/labels) and its role (filter values), which is distinct from any sibling that retrieves stories. It stops short of a full verb-based statement (e.g., "list the categories"), which keeps it from 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?
The phrase "you can filter by" plus the parenthetical "also topics for latest_news" implies this is the lookup tool to call before filtering, and hints at a downstream consumer. However, no explicit when-to-use or when-not-to-use guidance (e.g., "call this first to obtain a valid category value") is given, leaving the workflow to inference.
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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