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

No annotations provided. Description labels the tool as 'read-only' but fails to disclose other behavioral traits such as rate limits, data freshness, error handling for invalid addresses, or whether it makes external API calls. With no annotations, the description should carry more weight.

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?

Single sentence is concise and front-loaded. However, it could be slightly more structured with separate lines for parameter hints or usage notes.

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 no output schema and no annotations, the description is insufficient. It does not explain the comparison output format, what 'fundamentals and security data' entails, or how to interpret results. An agent would lack complete context for confident invocation.

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 for parameters is 0%. The description repeats the schema's min/max items (2–5) but does not explain the format or meaning of the addresses beyond what the pattern suggests. No additional context for the parameter is provided.

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?

Description clearly states it performs a read-only comparison of 2-5 Robinhood Chain token contracts, specifying data sources (GMGN fundamentals and security). This distinguishes it from sibling tools like list, research, or trending.

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?

No explicit guidance on when to use this tool over alternatives like hoodly_research_robinhood_token for individual token depth or hoodly_list_robinhood_launches for overview. Lacks when-not-to-use advice.

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