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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by clarifying that the catalog is served live via OpenAlex while corpus counts come from local D1, and it mentions the last refresh timestamp. This helps the agent understand data freshness and source boundaries.

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, well-structured sentence that front-loads the core purpose and then compactly lists the key data elements. Every phrase contributes meaningful information, and there is no fluff or 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 status tool, the description is complete: it names the data sources, the types of counts provided, the per-source breakdown, and the freshness indicator. Since there is no output schema, the description gives enough detail about the expected payload to guide correct use and interpretation.

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 and an empty input schema, so there is no parameter burden on the description. The baseline for 0 params is 4, and the description appropriately focuses on what the status report contains rather than any input semantics.

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 starts with a specific verb and resource: 'Report the scholarly store status.' It then enumerates exactly what the status covers (live OpenAlex catalog, local D1 corpus counts, per-source breakdown, refresh timestamp), which clearly distinguishes it from sibling search/detail tools like paper_search or paper_details.

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 purpose statement implies the right usage context: use this tool when the agent or user needs a status/health overview of the scholarly store, not when searching for specific papers or texts. It does not explicitly name alternatives or exclusion criteria, but the context is clear enough for an agent to route correctly.

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