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

Annotations declare readOnlyHint=true and openWorldHint=true, and the description is consistent with both. It adds real behavioral context that annotations cannot convey: latency under a minute, coverage limits, an explicit insufficient-evidence failure mode, and per-call cost (2.2 USDC via x402). The token-fee and identity paragraphs are promotional rather than behavioral, which keeps it from a 5.

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?

Operational content is front-loaded correctly, but roughly half the text is promotional and identity boilerplate (10% fee for the GHOST77 token, contract address, ERC-8004 agent number, Virtuals ACP link, payout wallet). None of that helps an agent decide to call or how to call, and it buries the one useful payment fact (2.2 USDC on Base).

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?

With no output schema, the description correctly spells out what comes back — sentiment, observed catalysts, source URLs, timestamp, coverage limits, and the insufficient-evidence case — and discloses the x402 payment requirement, which an agent needs before invoking. Only sibling routing is missing.

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%, so both parameters are already documented, and the description adds only a JSON example plus 'includeX adds public X results when available' — which largely restates the schema's 'Include X/Twitter search (default true).' Baseline 3 applies since the schema carries the semantic load.

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?

Opening sentence states a specific verb and resource: check whether public evidence supports a bullish or bearish story. It also names the artifacts returned (qualified sentiment, catalysts, source URLs), which separates it from pure-news tools like crypto_news_digest. However, it never names a sibling tool to differentiate from project_research_report or token_due_diligence, so the reader must infer the boundary.

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?

It gives a concrete input example and a scope constraint ('public web/news search only; no private feeds'), which implies when it fits. But there is no explicit 'use this instead of X when Y' routing despite a crowded sibling set of research/analysis tools.

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