x-ai-mcp

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions using 'Grok with real-time X search' and generating a 'daily digest,' but lacks details on permissions required, rate limits, whether it's a read-only or write operation (though 'generate' suggests read-only), output format, or any side effects. For a tool with no annotation coverage, this is insufficient.

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: the first sentence clearly states the purpose, and the second provides parameter details. There's no wasted text, and it's structured with a brief explanation followed by args. However, it could be slightly more concise by integrating the parameter info into the main sentence.

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 (AI-powered digest generation), no annotations, and an output schema (which should cover return values), the description is moderately complete. It explains the purpose and parameter well but lacks behavioral context like usage guidelines, permissions, or limitations. The output schema likely handles return values, but the description should still address when and how to use the tool effectively.

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 description adds meaningful context for the single parameter 'focus': it explains it as an 'Optional focus area' with examples ('e.g., 'AI', 'crypto', 'tech startups') and notes it 'Defaults to general tech/AI.' This provides clear semantics beyond the schema, which only indicates it's an optional string with a null default and 0% description coverage. Since there's only one parameter, the description adequately compensates for the low schema coverage.

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: 'Generate an AI-powered daily digest of what's happening on X. Uses Grok with real-time X search.' It specifies the verb ('generate'), resource ('daily digest'), and method ('AI-powered', 'Grok', 'real-time X search'). However, it doesn't explicitly distinguish itself from sibling tools like x_search_tweets or x_summarize_thread, which might also involve AI-powered analysis or summarization of X content.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention when this tool is appropriate (e.g., for daily summaries vs. real-time searches) or when to prefer other tools like x_search_tweets for specific queries or x_summarize_thread for individual threads. The only implied usage is for daily digests, but this is vague without context on frequency or scope.

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