Fetch fresh headlines from any The Verge section by specifying its slug. Use to monitor tech, reviews, science, AI, policy, gaming, and more.
Get The Verge section headlines. Returns fresh headlines from one public The Verge section.
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes | The Verge section slug |
Changes observed during successful MCP inspections.
v1.17.5Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It notes that headlines are 'fresh' (current) and from 'public' sections (no auth required), which is useful. However, it does not describe the return format, pagination, or any potential limitations (e.g., section availability). For a straightforward read operation, this is adequate but not rich.
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?
Two sentences with zero waste. The core action and scope are front-loaded, and there is no redundant detail. The description is appropriately sized for a simple tool.
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 parameter, no output schema, and a simple purpose, the description covers the essential information: what it does and the section parameter. It does not explain the exact structure of returned headlines, but that is often implicit for such a tool. Minor gaps like pagination or error behavior are not critical given the simplicity.
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 schema already fully documents the single 'section' parameter with an enum and description ('The Verge section slug'), providing 100% coverage. The description only redundantly mentions 'section' without adding syntax, format, or additional context beyond the schema. Baseline 3 is appropriate when the schema handles parameter semantics.
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 clear verb (Get), a specific resource (The Verge section headlines), and the scope (from one public The Verge section). It explicitly differentiates from sibling tools like theverge_news by focusing on 'headlines' rather than news articles, and the section-based selection is obvious from the name and description.
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 description provides no guidance on when to use this tool versus alternatives. While sibling tools like theverge_sections and theverge_news exist, there is no explicit statement about when headlines are preferred over news or section lists, nor any exclusions or caveats. The usage context is only implied by the word 'headlines'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.