hub__get_analytics

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It's a read-type tool by implication, but the description doesn't state whether this is read-only, whether it requires authentication, what the aggregation behavior is, or whether results are cached. For an analytics tool with zero annotation coverage, more behavioral context is needed.

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 short sentence that efficiently conveys the core purpose with no wasted words. It's appropriately concise for a simple one-parameter tool, though it is somewhat under-specified in content.

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 simple tool with one parameter, full schema coverage, and no output schema, the description is arguably adequate for basic invocation. However, with zero annotations, no output schema, and no clarity on what the analytics output contains (per-tool breakdown, per-server breakdown, or aggregated counts), the description leaves significant gaps about what to expect from the tool.

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 coverage is 100% and the single parameter timeframe is fully documented with an enum. The description adds no additional parameter context beyond the schema, but with full coverage the baseline of 3 is appropriate. The description doesn't explain how the timeframe parameter affects the results (e.g., aggregation granularity), which would add value.

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 'Get usage analytics for tools and servers' uses a clear verb+resource structure and states what data is returned (usage analytics). However, it doesn't distinguish itself from siblings like hub__list_servers or hub__check_tokens beyond the general subject matter. It's clear but lacks scoping detail.

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. The description doesn't explain what 'usage analytics' means in practice, what use cases it serves, or when someone might prefer a sibling tool like hub__search_tools or hub__check_tokens.

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