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makeuseof_sections

List the 14 MakeUseOf RSS sections accepted by MakeUseOf headlines, returning each section's slug, name, and URL so users can choose correct feeds.

Instructions

Get MakeUseOf RSS sections. Lists the 14 MakeUseOf sections accepted by makeuseof-headlines, including windows, linux, apple, networking, productivity, streaming and news. Each entry has a slug, display name and url. Open-ended tag archives are not sections.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.9

TDQS

A4.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden and does so well: it discloses the fixed size (14), the return shape (`slug`, `name`, `url`), several concrete example values, and an important boundary condition (tag archives are not sections). It does not mention caching or that the list is static, but for a zero-param read tool this is close to complete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences that front-load the purpose, then supply examples, return fields, and the exclusion. No sentence is redundant and each adds distinct information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description correctly compensates by naming the returned fields and count and by anchoring the tool to its consumer (`makeuseof-headlines`). For a no-parameter lookup tool this is fully sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so per the baseline this scores 4; there is nothing for the description to disambiguate. The enumerated example values are output examples rather than input semantics, which is appropriate here.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get MakeUseOf RSS sections') and explicitly frames it as the enumeration of the 14 sections accepted by the sibling `makeuseof-headlines`, which cleanly separates it from makeuseof_article/news/author. An agent can identify what it returns and how it relates to siblings without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Clear context is given: these are the sections the sibling `makeuseof-headlines` accepts, so the discovery-then-filter workflow is implied and the exclusion of open-ended tag archives is stated. It stops short of an explicit 'call this before makeuseof_headlines to obtain valid slugs', so it is strong but not fully prescriptive.

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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