get_stats_overview

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 states the tool retrieves statistics but does not describe any behavioral traits, such as whether it's a read-only operation, its performance characteristics, error handling, or data freshness. This is a significant gap 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 a single, efficient sentence that front-loads the core action ('Get high-level statistics') and lists the specific metrics without any wasted words. It is appropriately sized for its purpose and structured for quick comprehension.

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 complexity is low (0 parameters, no annotations, no output schema), the description is minimally adequate. It specifies what statistics are retrieved, but it lacks details on the return format, data scope, or any limitations. Without an output schema, the agent must infer the structure from the description alone, which is incomplete for full contextual understanding.

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 0 parameters, and the input schema has 100% description coverage (though empty). The description does not need to add parameter semantics, as there are none to document. It appropriately focuses on the output metrics, earning a high baseline score for parameter clarity in this context.

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 a specific verb ('Get') and resource ('high-level statistics'), and it enumerates the three key metrics returned (total enriched jobs, companies, and active feeds). However, it does not explicitly differentiate this tool from sibling tools like 'get_top_companies' or 'get_top_titles', which might also provide statistical data, so it falls short of a perfect score.

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 does not mention any prerequisites, context, or exclusions, such as whether it should be used for dashboard summaries or in contrast to more detailed statistical tools. This leaves the agent without explicit usage instructions.

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