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

No annotations are provided, so the description carries the burden of behavioral disclosure. It adds useful details about the analysis dimensions (weekly deltas, trajectory, peer benchmark) and states it shows improvement/decline. However, it does not mention any prerequisites, limitations, or what happens if historical data is missing, leaving moderate transparency.

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 with a clear verb, front-loaded purpose, and specific details. Every word contributes to understanding the tool's behavior without redundancy.

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 and no output schema, the description adequately covers the main behavior and key outputs. It lacks explicit details on return format or data prerequisites, but these are not critical for a straightforward analytical tool. A higher score would require more explicit output description.

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 schema has 100% coverage for the single parameter (entity_id) with a clear description. The tool description adds no extra parameter semantics beyond what the schema provides, which is acceptable given the high schema coverage.

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 function: showing score trend over time, with specific features (weekly deltas, trajectory, peer benchmark) and outcome (improvement/decline). This distinguishes it from sibling tools like article_status or assess_all, which focus on current state rather than temporal trends.

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 implies usage for analyzing score evolution over time, providing clear context. However, it does not explicitly mention when not to use it or name alternative tools, so it falls short of the top score which requires explicit when/when-not/alternatives.

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