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

Annotations already declare this a safe, idempotent, read-only, open-world operation, so the safety profile is covered. The description adds one genuinely valuable behavioral detail — the still-forming candle is excluded — but says nothing about ordering, rate limits, or how spot/futures data differ.

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?

A single front-loaded sentence with zero waste that immediately qualifies the data as closed-only. Nothing redundant or padded.

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 steps up to define the return tuple as [openTime ms, open, high, low, close], which is the critical missing piece. It could go slightly further on element types (string vs number prices) and row ordering, but it is largely complete for a 4-parameter read tool.

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%, with defaults and enums documented for limit, venue, timeframe, and symbol, so the schema carries the parameter burden. The description adds no parameter meaning beyond what is already structured.

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 the specific resource (recent closed candles) and that it comes from a Binance pair via the tool title. It clearly distinguishes itself from get_price by emphasizing historical closed candles rather than a live quote, though it doesn't name that sibling explicitly.

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?

No guidance on when to use this versus get_price, get_indicators, or backtest_rule, and no mention of prerequisites or limitations. The use case (fetching OHLC history for analysis) is only inferable from the description.

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