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

With no annotations, the description fully carries the burden. It discloses data provenance (from chain logs, no backfill), timing definitions (happened_at vs observed_at), and clarifies that buyers are transaction senders, not the router. This is thorough and unambiguous.

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 dense paragraph, but each sentence adds necessary context. It front-loads the primary purpose and then details the data specifics. Slightly longer than ideal but appropriate for the tool's complexity, with no wasted words.

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?

For a tool with 7 optional parameters and no output schema, the description is exceptionally complete. It explains the chain, the filtering threshold, the cohort composition, grading metrics, launchpad identification, and data collection timing. An agent can confidently invoke it without additional documentation.

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 description coverage is 100%, so the baseline is 3. The description adds context about what the results mean (e.g., early-buyer definition) but does not elaborate on parameter syntax or format beyond the schema. It provides marginal added value over the schema.

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 states a specific verb and resource: token launches on Robinhood Chain with a first-hour activity floor, including early-buyer cohort details. It clearly distinguishes from siblings like congress_trades or insider_buys by its unique focus on chain-specific launch 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?

The description provides clear context on the data scope and filtering criteria, implying when it is relevant. However, it does not explicitly name alternatives or exclusions (e.g., when to use launch_wallets instead), so it lacks the explicit routing found in top-tier examples.

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