flip_coin

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions flipping coins but does not reveal the return format (e.g., 'heads'/'tails', boolean, list), any constraints on the count parameter, or whether the outcome is uniformly random. This is minimal transparency for a random-generation tool.

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 a single, front-loaded sentence with no filler, perfectly concise for the simplicity of the tool. Every word earns its place.

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?

The tool is simple but lacks an output schema, so the description should disclose return behavior. It does not specify what the output looks like (e.g., array of strings, boolean), which is a notable gap for an agent needing to consume the result. The description is under-specified for the tool's 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 description coverage is 100% for the single 'count' parameter, which already documents its meaning and default. The description's mention of 'multiple coins' adds little beyond the schema, so it meets the baseline 3 without meaningful enrichment.

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 'Flip a coin (or multiple coins)' clearly identifies the action (flip) and resource (coin), and implies binary random outcomes. It is distinguishable from siblings like random_integer and random_choice by its specific coin-oriented semantics, though it does not explicitly name alternatives.

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 guidance on when to use this tool versus alternatives such as random_choice or roll_dice. The description merely states what it does without providing context or exclusions, leaving the agent without guidance on tool selection.

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