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

The description goes well beyond the readOnly/openWorld annotations by disclosing that forward returns are computed on-demand from historical klines, that each row triggers two kline lookups, that results are limited to the 50 newest rows, and that data is populated by a Cron job every 5 minutes. This gives the agent a strong understanding of cost, freshness, 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: it front-loads the core purpose, then explains the computation model, limits, and data source. Every sentence adds value and there is 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?

For a read-only backtest tool, the description covers inputs, processing logic, output metrics, and constraints. It does not describe the exact output shape or what happens when no signal history exists, but it names the aggregate metrics and the absence of an output schema reduces the obligation.

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%, so the baseline is 3. The description adds useful context around the signal selection threshold (score >= 0.6) and the forward-return concept, but it does not add meaningful semantics beyond what the input schema already provides for symbol, startTime, endTime, signalType, and forwardWindow.

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's purpose: empirical validation of binance_detect_mm_activity signals, including the specific process of taking signal snapshots, computing forward returns, and aggregating win rate, avg return, and max drawdown. It uses a specific verb ('Validasi empiris') and resource, and is easily distinguishable from the sibling detector tool.

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 on when this tool is appropriate: it backtests previously stored signals from binance_detect_mm_activity rather than detecting or fetching live signals. It also states important constraints like watchlist-only symbols and the 50-row limit, though it does not explicitly say 'use X instead when...'.

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