Fetch the public Khaleej Times section inventory and slugs to retrieve headlines by category. Slugs are URL paths with slashes replaced by hyphens.
Get Khaleej Times sections. Returns the public Khaleej Times section inventory used by the headlines endpoint. A section slug is its URL path with slashes turned into hyphens (for example business-markets for /business/markets).
| 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 provided, so the description carries the burden. It states the tool returns 'public' section inventory, which implies no authentication needed. It also explains the slug transformation rule (URL path with slashes turned into hyphens), which is useful behavioral context. However, it doesn't describe the response format, whether sections are nested/hierarchical, or any pagination/ordering behavior. The 'public' qualifier is a small transparency signal but not comprehensive.
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 three sentences, each adding distinct value: what it returns, its relationship to the headlines endpoint, and the slug format rule. No wasted words. The most important information (what it does) is front-loaded.
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, read-only inventory tool, the description is largely complete. It explains the purpose, the slug convention, and the relationship to headlines. The only gap is the lack of detail about the response structure (e.g., whether it's a flat list or nested tree), but with no output schema and no annotations, this is a minor omission for a simple section-list tool.
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 tool has zero parameters, so the schema is empty. The description adds value by explaining what the returned data represents (section inventory) and how slugs are derived. With 0 params, the baseline is 4, and the description does provide meaningful context about the output even though there are no parameters to document.
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's purpose: 'Get Khaleej Times sections' and specifies it returns the public section inventory used by the headlines endpoint. It also explains the slug format, which distinguishes it from other section tools like nyt_sections or newyorker_sections. The verb 'Get' plus the resource 'Khaleej Times sections' is specific and 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 explains that this returns the section inventory used by the headlines endpoint, which implies when to use it (when you need section slugs for headlines). It doesn't explicitly name alternatives or exclusions, but the context of sibling tools like khaleejtimes_headlines and khaleejtimes_news makes the usage context clear. The slug format explanation also helps the agent understand how the output will be used downstream.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.