Get news details
get_newsGet one public AI news item by ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The numeric ID returned by search_news. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| news | Yes | ||
| error | No |
get_newsGet one public AI news item by ID.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The numeric ID returned by search_news. |
| Name | Required | Description | Default |
|---|---|---|---|
| news | Yes | ||
| error | No |
Changes observed during successful MCP inspections.
Output schema / properties / news / properties / downvotes / descriptionAdded value: +"Number of TAAFT downvotes for this news item."Output schema / properties / news / properties / popularity / descriptionAdded value: +"Net TAAFT news votes: upvotes minus downvotes."Output schema / properties / news / properties / upvotes / descriptionAdded value: +"Number of TAAFT upvotes for this news item."Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds only that the item is 'public' and singular; it does not disclose behavior for invalid IDs, missing items, or the return shape. With annotations present, this meets the lower bar but adds limited extra context.
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?
A single short sentence that is front-loaded with the core operation and contains no filler. Every word 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?
The tool has a simple one-parameter schema, full schema descriptions, annotations, and an output schema. The description is complete enough for an agent to call it correctly, though it could explicitly note that IDs should come from search_news to improve routing.
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 description coverage is 100%, and the sole parameter already documents that the ID comes from search_news. The description's 'by ID' adds no meaningful semantics beyond the schema, so the baseline 3 is appropriate.
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 states a specific verb and resource: get one public AI news item. The scope ('one public AI news item') distinguishes it from a search/list tool, although it does not explicitly name the sibling search_news as the source of IDs.
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 phrase 'by ID' and the schema note that the ID is returned by search_news jointly imply this is a follow-up lookup tool. However, the description itself gives no explicit when-to-use, prerequisites, or alternatives, so usage is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.