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

No annotations are provided, so the description carries the full burden. It does disclose the paid nature ($0.05 via x402), the scanned sources, and the general result type (sentiment scores). It does not describe output structure, rate limits, data freshness, or failure modes, but the operation appears read-only and low-risk.

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 well-structured sentence that front-loads the cost and core action, then lists the sources and outcome. There is no filler or redundant information.

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 simple tool with one required parameter and full schema coverage, the description is largely complete: it tells the agent what to scan, where to scan, and what to expect. The main gap is the absence of an output schema and the exact format of the sentiment scores, though 'real-time sentiment scores' gives a reasonable expectation.

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 coverage is 100%: q is described as 'Keyword or token symbol to scan for' and x_payment as 'Optional signed x402 payment payload.' The description adds context about sentiment computation and sources but does not add meaning beyond what the schema already provides.

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 ('Scan') and names exact resources (public crypto communities and feeds, Reddit /r/cryptocurrency, HackerNews search) plus the intended outcome (compute real-time sentiment scores). This clearly distinguishes it from generic search or news siblings like web_search and hn_top_stories.

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 when to use it: when an agent needs sentiment across public crypto communities for a keyword. However, it offers no explicit when-not-to-use guidance or mention of alternatives among the many sibling tools, so an agent must infer the boundary.

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