get_enriched_news

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: it's a paid service ('premium endpoint', 'Payment is handled via the x402 protocol'), specifies the return content ('complete news data including long_context, short_context, entity analysis'), and notes the output format ('returns the payment endpoint and instructions'). This covers cost, data structure, and response behavior, though it lacks details on rate limits or error handling.

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 appropriately sized and front-loaded, starting with the core purpose. Each sentence adds value: the first defines the tool, the second lists returned data, and the third explains payment. There's minimal waste, though the structure could be slightly tighter by integrating payment details more seamlessly.

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?

Given the tool's complexity (paid service with AI analysis), no annotations, and no output schema, the description is moderately complete. It covers the premium nature, data returned, and payment mechanism, but lacks details on output format beyond 'payment endpoint and instructions', error cases, or how the AI analysis is generated. For a tool with no structured output, more clarity on the response structure would be beneficial.

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 0 parameters with 100% coverage, so the baseline is 4. The description adds no parameter-specific information, which is acceptable since there are no parameters to document. It focuses on the tool's functionality and payment aspects instead.

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 enriched news with full AI-generated context and analysis.' It specifies the verb ('Get') and resource ('enriched news'), and distinguishes it from siblings like 'get_latest_news' or 'get_news_item' by emphasizing the 'AI-generated context and analysis' aspect. However, it doesn't explicitly contrast with all siblings (e.g., 'get_news_recap' might also involve summarization).

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 implies usage context by mentioning it's a 'premium endpoint' with payment via x402, suggesting it should be used when AI-generated analysis is needed and payment is acceptable. However, it doesn't explicitly state when to use this tool versus alternatives like 'get_news_item' or 'search_news', nor does it provide exclusions or clear prerequisites beyond payment handling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.