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

No annotations are provided, so the description carries the full disclosure burden. It usefully adds that answers come with checked figures and chart links, and that charts render inline where the client supports it, but says nothing about data freshness, coverage limits, or failure behavior for unsupported questions.

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 short sentences with the core purpose front-loaded; the inline-chart note is secondary detail but still earns its place. No filler or repetition.

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 output schema, the description does the right thing by sketching the return shape (figures plus chart links, inline charts). For a one-parameter tool it is close to complete, missing only data-scope and failure-mode context.

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% for the single `question` parameter, so the baseline is 3. The description adds only domain scoping (the question should concern tech growth), which is modest added meaning beyond the schema's "The question in plain words".

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 concrete verb+resource: answering questions about what is growing in tech, with checked figures and chart links. This is clear enough to distinguish it as the broad Q&A entry point, though it never explains how it differs from topic-specific siblings like research_ideas or rising_companies.

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?

"Best first call" gives a clear routing context — reach for this before the narrower siblings — but no explicit when-not conditions or named alternatives are provided, so the agent must infer the routing boundary.

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