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

Annotations already declare readOnlyHint and openWorldHint. The description adds valuable context: 'Requires API key' and 'real-time sentiment score' (consistent with idempotentHint=false). It also lists return fields, going beyond the structured annotations. No contradiction found.

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 dense and front-loaded, with no filler. It includes multiple sentences but each adds information (data sources, outputs, usage, API key). Minor redundancy between 'Returns real-time sentiment score...' and the explicit return object, but overall efficient.

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?

The tool is simple with one fully documented parameter and good annotations. Since there is no output schema, the description adequately compensates by listing the return fields. It covers purpose, usage, return format, and API key requirement. Missing error-handling details are not necessary for a read-only sentiment query.

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 schema already provides 100% coverage for the single parameter, including examples. The tool description adds no extra parameter semantics beyond what is in the schema, so baseline 3 is appropriate.

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 it is a crypto social sentiment tool using CoinGecko and DexScreener, with specific outputs like sentiment score, trending status, and community size. This distinguishes it from sibling tools such as price_feed or onchain_insight.

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?

Provides explicit usage context: 'Use before trading decisions.' This signals when to invoke the tool. However, it does not explicitly mention alternatives or when not to use it, so it stops short of a 5.

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