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

No annotations are supplied, so the description carries the full disclosure burden, yet it says nothing about whether the call is read-only, whether metrics are precomputed or computed on demand, what a missing day yields, or what the response contains. It only restates that a day's metrics are returned.

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?

One compact sentence with the resource front-loaded and no filler. It is efficient, though the terseness borders on under-specification given the unexplained 'Q index'.

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 annotations, no output schema, and 0% schema description coverage, the definition should explain what the metrics comprise and what happens for invalid or empty days. It supplies only the date format, leaving the return shape and semantics opaque.

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 0% and the single parameter 'day' has only a title, so the schema gives no guidance. The description compensates by specifying the exact format 'YYYY-MM-DD', which is the one piece of meaning an agent needs to invoke it correctly.

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 names a specific resource (quality metrics for a single day) and implies a retrieval action, so an agent can tell broadly what it returns. However, the verb is implicit and the core term 'Q index' is left undefined, so the agent cannot tell what quantity is actually being fetched or how it differs from siblings like get_ai_levels or get_ai_trader.

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?

There is no statement of when to call this tool, no prerequisites, and no reference to any alternative for related data. The agent must infer usage from the resource name alone.

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