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

Annotations already mark the tool as read-only, idempotent, and non-destructive. The description adds valuable behavioral context: pricing per call, the x-credit-token header option, the free daily call, that no wallet or API key is required, and that the brief flags fresh/unknown tokens for rug risk.

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 front-loaded with the core purpose and then covers value, pricing, and access requirements in a compact three-sentence structure. Minor redundancy exists in saying 'AI-written' and then 'AI writes,' but every sentence otherwise earns its place.

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?

With no parameters, rich annotations, and an output schema present, the description is complete for invocation. It covers what the tool returns, why it is useful, pricing, authentication, and access constraints, leaving no practical gap for an agent deciding whether and how to call it.

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 zero parameters and schema description coverage is 100%, so there is no parameter documentation burden on the description. The description appropriately focuses on behavior and output rather than parameters.

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 the tool produces an AI-written situational brief of the Base token market, aggregating trending and newly-listed tokens and summarizing mood, highlights, launches, and cautions. It distinguishes itself from the many sibling lookup tools by calling itself the 'zoom-out flagship' and positioning one call as replacing dozens of lookups.

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 gives clear context for when to use it: when a trading agent needs broad market context in one call instead of many individual lookups. It does not explicitly name sibling alternatives or state when not to use it, but the intended use case is unambiguous.

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