Fetch PCMag headlines from a selected category by specifying its section slug. Returns structured JSON headlines for the chosen topic.
Get PCMag section headlines. Returns fresh PCMag headlines from one public topic/category hub.
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes | PCMag category slug |
Changes observed during successful MCP inspections.
v1.17.5Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It mentions 'fresh' headlines, indicating recency, but does not describe the returned data structure, pagination, rate limits, or any side effects. For a simple read tool this is a moderate but real gap.
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?
The description is two short sentences with the primary action front-loaded in the first sentence. The second sentence adds a meaningful qualifier about freshness and scoping without any fluff or repetition.
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 tool with one required parameter and no annotations or output schema, the description is minimally adequate for basic invocation. However, it leaves the agent without any indication of the returned data shape, result limits, or potential edge cases, so it is not fully complete.
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 input schema already fully documents the sole parameter as a 'PCMag category slug' with an exhaustive enum, so schema coverage is 100%. The description only adds that it is a 'public topic/category hub', providing marginal extra meaning beyond the schema; the baseline score of 3 is appropriate.
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 and resource ('Get PCMag section headlines') and clarifies the source is a single public topic/category hub. This is clear enough to distinguish it from sibling tools like pcmag_news or pcmag_sections, though it does not explicitly name those alternatives.
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 explicit guidance on when to use this tool versus pcmag_news, pcmag_sections, or pcmag_article. It only implies that the caller must choose a section slug and that each call is scoped to one hub, but provides no exclusions, prerequisites, or alternative routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.