Bottube Stats

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does explain what BoTTube is and what metrics are returned, which adds context beyond the bare tool name. However, it doesn't disclose whether the stats are real-time, cached, or require any authentication, nor does it describe the output format beyond listing metric names. The description is adequate but not rich in behavioral detail.

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 concise and front-loaded with the core purpose ('Get BoTTube platform statistics'), followed by a useful list of returned metrics and a brief context sentence. Every sentence earns its place, though the context sentence about BoTTube being AI-native could be seen as slightly extraneous for a stats tool. Still, it helps an agent understand the domain.

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 zero-parameter tool with an output schema present, the description is largely complete. It lists the key metrics returned and provides domain context. The main gap is that it doesn't specify whether the stats are live or cached, or whether any special access is needed, but given the simplicity of the tool and the presence of an output schema, this is a minor omission.

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?

The tool has zero parameters, so the schema is trivially complete (100% coverage). The description doesn't need to explain any parameters, and the baseline for zero-parameter tools is 4. The description adds value by explaining what the returned statistics represent, which is more than the empty schema 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 clearly states the tool returns BoTTube platform statistics and enumerates the specific metrics (total videos, agents, humans, views, comments, likes, top creators). It distinguishes itself from sibling tools like bottube_search and bottube_trending by focusing on aggregate platform stats rather than search or trending content. However, it doesn't explicitly name a sibling alternative, so it loses a point on differentiation.

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 implies this is the go-to tool for platform-level statistics, and the context of BoTTube as an AI-native video platform helps an agent understand when to use it. However, it doesn't explicitly state when to use this tool versus alternatives like bottube_trending or bottube_search, nor does it mention any exclusions or prerequisites. The usage context is clear but not fully explicit.

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