Retrieve all public sections available to The Hollywood Reporter headlines API, covering editorial categories and named verticals.
Get The Hollywood Reporter sections. Returns the complete public section inventory accepted by /api/v1/hollywoodreporter/headlines (both The Hollywood Reporter's editorial categories and its named editorial verticals).
| 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?
Since there are no annotations, the description carries the full burden. It accurately indicates this is a read-only retrieval operation (no side effects) and specifies that the returned inventory is the comprehensive set of valid sections accepted by the headlines API. This is sufficient behavioral disclosure for a metadata enumeration tool.
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 a single sentence but packs all necessary details: what is retrieved, the scope (complete public section inventory), and how it relates to the headlines endpoint. No wasted words.
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 zero-parameter enumeration tool, the description is complete. It could additionally mention the exact return format (e.g., list of strings), but since no output schema exists, the description's reference to the inventory and its intended use is sufficient for an agent to call it correctly.
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 has no parameters, and the description explains that the tool returns the complete inventory, implying no arguments are needed. This fully clarifies parameter expectations beyond the empty schema.
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 clearly states the tool retrieves The Hollywood Reporter sections, specifically the complete public section inventory used by the headlines endpoint. It distinguishes between editorial categories and named editorial verticals, making the purpose unambiguous.
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 explicitly references the downstream endpoint (/api/v1/hollywoodreporter/headlines) that consumes this inventory, clarifying when this tool should be used. It also implies it is a preliminary lookup step, distinguishing it from directly fetching headlines.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.