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

With no annotations provided, the description carries the full behavioral burden. It usefully discloses prerequisites and a $0.01 USDC per-call cost, but it does not explain execution behavior such as irreversibility, partial fills, failure modes, or what the tool returns after placing the bet.

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 action and follows with essential semantics, prerequisites, and cost. Every sentence contributes useful information with no repetition or filler.

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 financially consequential mutation tool with no annotations and no output schema, the description covers prerequisites and cost but leaves execution results, failure behavior, and order lifecycle unaddressed. It is adequate for a basic call but not fully complete for safe agent use.

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 input schema already documents symbol, direction, orderType, amountUsdc, and limitPrice. The description reinforces price-as-probability and long/short semantics, but adds little beyond what the schema already provides.

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 uses a specific verb and resource: 'Place a bet on a Drift BET prediction market.' It also clarifies the core semantic mapping that long means YES and short means NO, which distinguishes this execution tool from read-only prediction-market siblings.

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 usage context by stating it requires DRIFT_GATEWAY_URL and a funded Drift account, and it discloses the per-call cost. It does not explicitly route agents to alternatives such as drift_prediction_markets for discovery or drift_market_details for inspection, so it stops short of full when-to-use vs alternatives guidance.

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