Retrieve the public Engadget category taxonomy to find valid section names for headline queries. Returns 48 categories accepted by the headlines endpoint.
Get Engadget sections. Returns the public Engadget category taxonomy (48 categories) accepted by the headlines endpoint.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 bears the burden of disclosing behavior; it correctly characterizes this as a read-only retrieval ('Get', 'Returns') and reveals the payload (48-category taxonomy). It does not discuss rate limits or freshness, but neither is material for such a simple taxonomy fetch.
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 short sentences, with the action and scope front-loaded and no redundant phrasing. Every clause 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 parameter-less tool with no output schema, the description adequately communicates the return value and its downstream consumer (the headlines endpoint). It leaves minor ambiguity about the structure of the taxonomy (flat list vs hierarchy), but an agent can safely call and inspect the response.
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?
With zero required or optional parameters, the empty schema is 100% covered and there is nothing for the description to document. The description confirms the tool is callable as-is, matching the 0-parameter baseline.
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 ('Get') and resource ('Engadget sections'), and adds that it returns a 48-category taxonomy consumed by the headlines endpoint. This clearly differentiates it from the many other *_sections sibling tools because it is explicitly scoped to Engadget.
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 establishes clear context: it provides the categories to use with the headlines endpoint, implying this tool is a prerequisite for targeting Engadget headlines. It does not explicitly name sibling sections tools or state when not to use it, so it stops short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.