get_feature_store_stats

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

There are no annotations, so the description carries the burden of behavioral disclosure. It does indicate the tool produces statistics and store types, implying a non-mutating informational call, but it does not explicitly state read-only semantics, data freshness, or potential costly aggregation behavior. This is adequate for a simple zero-parameter stats 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 sentence that names the resource, the operation, and the kind of information returned. There is no fluff or redundant repetition of the tool name.

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, no-output-schema read tool, the description gives enough information to select it among many siblings: 'overall statistics', 'Feast feature store', and 'counts and store types'. It could explain the exact returned shape, but the tool's simplicity makes the current description nearly sufficient.

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?

With zero parameters and 100% schema description coverage, there are no parameter semantics to explain. The description correctly focuses on what the statistics include rather than any inputs.

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 states a specific verb ('Get') and resource ('statistics about the Feast feature store') and mentions the content ('counts and store types'). It is distinct enough from sibling tools like get_feature_views and get_feature_freshness by describing overall store stats rather than individual feature views, 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?

No guidance is given about when to use this tool versus related tools such as get_feature_views, get_feature_freshness, or get_online_features. The description implies a broad statistics use case but neither states it nor names alternatives.

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