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

Although annotations already mark the tool as non-read-only, non-destructive, and non-idempotent, the description adds important operational behavior: report statuses, AI fallibility, rate limits, API-key requirement, sourced numbers, withholding failed plausibility checks, and no order/fund movements. This provides unusually rich transparency for side effects and limitations.

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 but well structured, starting with purpose and then immediately giving the two usage modes before limits and disclaimers. Every clause appears relevant, with no wasteful repetition despite covering many operational details.

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?

It covers usage, limits, side effects, data sourcing, and status values, which is substantial for a tool with no output schema. However, it does not describe the exact shape of the returned report object or how the public page URL is provided, leaving a modest output-format gap.

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 descriptions are basic, but the tool description adds meaning: about accepts public http(s) links or topics of 3–300 characters, symbol accepts a ticker/name/dashboard slug, and report_id is used for reading without a key. It also maps each parameter to its mode, which is semantic guidance beyond the schema text.

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 defines the tool as generating a short research report about a coin from a link or topic, grounded in its dashboard, and explicitly explains the two modes: asking (symbol + about) and reading (report_id). It names the resource and scope so an agent can distinguish it from sibling crypto tools without opening the schema.

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?

It explicitly says when to pass symbol and about versus report_id, states rate limits (6/hour, 1/minute), and notes that asking requires an API key while reading does not. These conditions leave little ambiguity about how to use each mode.

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