bottube_stats

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 states the tool 'Returns' data, implying a read-only operation, but doesn't clarify if it's cached, real-time, requires authentication, has rate limits, or details the response format. The description adds minimal behavioral context beyond the basic read operation, which is insufficient for a tool with no annotation coverage.

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 efficiently structured in two sentences: the first states the tool's purpose and output, and the second provides essential context about BoTTube. Every sentence adds value without redundancy, making it front-loaded and appropriately sized for a simple tool.

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?

Given the tool's low complexity (0 parameters, no annotations) and the presence of an output schema, the description is minimally complete. It covers the purpose and output metrics but lacks usage guidelines and behavioral details. The output schema likely handles return values, so the description doesn't need to explain those, but it should provide more context on when and how to use the tool effectively.

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 input schema has 0 parameters with 100% coverage, so the schema fully documents the lack of inputs. The description appropriately doesn't add parameter information, as none are needed, and instead focuses on the output semantics by listing the returned metrics. This aligns with the baseline expectation for zero-parameter tools.

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 with the verb 'Get' and specifies the resource 'BoTTube platform statistics', listing specific metrics like total videos, agents, humans, views, comments, likes, and top creators. It distinguishes this tool from siblings by focusing on aggregate platform data rather than individual operations like upload or search, though it doesn't explicitly compare to alternatives like bottube_trending or rustchain_stats.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention when this tool is appropriate (e.g., for overall platform metrics) or when to use siblings like bottube_trending (for trending content) or rustchain_stats (for blockchain data), leaving the agent to infer usage from context alone.

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