Fetch current MakeUseOf section headlines by category slug, returning clean JSON from public RSS feeds for the chosen topic.
Get MakeUseOf section headlines. Returns current headlines from one of the 14 public MakeUseOf category RSS feeds. Use a slug from makeuseof_sections.
| Name | Required | Description | Default |
|---|---|---|---|
| section | Yes | MakeUseOf section slug |
Changes observed during successful MCP inspections.
v1.17.9Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden; it adds useful context by identifying the data source as 14 public RSS category feeds, implying no auth and near-real-time content. It does not disclose rate limits, update cadence, pagination, or the shape of returned headlines.
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?
Three short sentences, front-loaded with the action and immediately followed by source detail and the slug hint. The middle sentence adds real information about feed count and provenance rather than padding, so it earns its place.
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 single-parameter tool with no output schema and no annotations, the description covers what it returns (current headlines), where they come from (14 public RSS feeds), and how to supply the parameter (slug from makeuseof_sections). Only the returned item structure is left unspecified, which is a minor gap for a headlines feed.
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?
Schema coverage is 100% with an enumerated section slug, so the schema already lists all valid values (baseline 3). The description adds value by pointing to makeuseof_sections as the authoritative source for slugs, giving the agent a resolution path beyond the enum.
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 and resource ('Get MakeUseOf section headlines') and clarifies the source ('one of the 14 public MakeUseOf category RSS feeds'). It does not explicitly distinguish itself from the sibling makeuseof_news, so an agent must infer the headline-vs-news split.
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 gives one concrete usage hint: 'Use a slug from makeuseof_sections,' which routes the agent to the right sibling for valid input values. However, it offers no when/when-not guidance relative to makeuseof_news or makeuseof_article, so the usage context is only partially covered.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.