Extract public TechRadar article metadata and body paragraphs from a canonical URL to get structured content for reading or analysis.
Get TechRadar article content. Returns public TechRadar article metadata and body paragraphs from a canonical article URL.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | Canonical TechRadar article URL |
Changes observed during successful MCP inspections.
v1.17.5Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does convey the core behavior: it returns public article metadata and body paragraphs and expects a canonical URL. However, it does not explain error handling, what happens with non-canonical URLs, whether redirects are followed, or the structure of the returned metadata.
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, front-loaded sentence: the verb and resource come first, followed by the return content and the input constraint. Every phrase earns its place, with no redundancy or filler.
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 one-parameter read tool with no output schema and no annotations, the description covers the essential input and return shape: article metadata and body paragraphs from a canonical URL. It could be more explicit about what fields the metadata contains, but an agent has enough context to select and invoke the tool 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 only parameter, url, has 100% schema description coverage with 'Canonical TechRadar article URL,' so the schema already documents it. The description adds no new parameter-level meaning beyond repeating 'canonical,' which means it does not improve on the 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?
The description uses a specific verb (Get) and a specific resource (TechRadar article content), and it states the output (metadata and body paragraphs) and required input (canonical article URL). It clearly identifies the tool's domain and operation, though it does not explicitly name or contrast sibling tools like techradar_headlines.
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 'from a canonical article URL' implies the tool should be used when the agent already has a canonical TechRadar URL and needs the full article content. It does not explicitly state when to prefer this tool over techradar_headlines, techradar_news, or techradar_sections, so the guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.