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

No annotations are provided, so the description must cover behavioral traits. It describes the output (price, market cap, volume, changes) and implies a read-only operation. However, it does not mention any potential rate limits, data freshness, or authentication requirements, which would be useful.

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 short sentence that is front-loaded with the key information. It is concise but could be slightly improved with a verb for clarity (e.g., 'Returns FLR token price...').

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 parameters and no output schema, the description adequately covers what the tool returns: price, market cap, volume, and changes. It is fairly complete for a simple price retrieval tool, though it lacks details like base currency or update frequency.

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 tool has no parameters, so schema coverage is 100% trivial. The description adds meaning by explaining the returned data fields, which goes beyond the empty schema. It effectively tells the agent what to expect, justifying a score above baseline 4.

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 returns FLR token price, market cap, volume, and 24h/7d change. It is a specific verb-resource combination (retrieve market data) and is easily distinguishable from sibling tools like flr_address_info or flr_network_stats.

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 versus alternatives. While the context suggests it's for current token market data, no mention of when not to use or which sibling tools might be better suited for different queries.

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