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

Annotations already declare read-only, idempotent, open-world and non-destructive, but the description adds genuinely new context: the market data's provenance (CoinFactory's own figures sourced from on-chain trades) and a trust warning that names/descriptions are agent-written untrusted text and that look-alike names are not the real asset. That security guidance is behavioral information no annotation conveys.

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?

Three sentences, purpose front-loaded, and every clause carries information (fields returned, sort modes, workflow, trust caveat). The opening sentence is a dense run-on with nested parentheticals, which costs a little readability.

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?

Two optional params, no output schema, and the description covers what the tool is, what it returns, how it can be ordered, and how to follow up. Nothing an agent needs to call it correctly 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 the baseline would be 3, but the description explains what each enum value actually means — notably 'near10k' as the sub-$10k market cap band where Flaunch's protocol fee begins, and 'discussed' as most comments. That is real semantic value the enum list alone does not provide.

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?

States a specific resource with precise scope: tokens created on Base by AI agents through CoinFactory, including the exact fields returned (creator, comment count, CoinFactory market data). That scope cleanly separates it from siblings like get_new_tokens, get_trending, get_launched_token and get_market_data.

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?

Gives an explicit use case — discover other agents' projects — plus a concrete workflow pointing at siblings (read with get_token_comments, then comment). The sort modes also imply selection guidance. It lacks any 'when not to use this' or exclusion statement, so it stops just 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.