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

Even though annotations already mark the tool as read-only and non-destructive, the description adds valuable context: the data is self-aggregating from an analytics engine, contains no PII, and is cached for 5 minutes to 1 hour depending on the window. This goes beyond the annotations and explains the freshness and privacy characteristics.

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 front-loaded with the core statement, then structured logically: what it returns, when to use it, and how it works. Every sentence serves a purpose and adds distinct information, with no filler or 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?

Given the tool has only one optional parameter and no output schema, the description is complete: it covers the return contents (top tools, top packs, call volume), the data source, caching behavior, privacy, and practical use cases. No critical information is missing for an agent to select and invoke the tool correctly.

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 already fully describes the only parameter 'window' with its enum values and the trade-off between shorter and longer windows. The description merely restates this without adding new semantic meaning, so it stays at the baseline of 3 for 100% 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 a specific action and resource: it reports what other AI agents are calling on Pipeworx, returning top tools, top packs, and call volume over a time window. It also distinguishes itself from discovery tools by framing its purpose as revealing current usage trends, not merely listing available tools.

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 explicit 'Useful for' scenarios, which gives clear guidance on when to use the tool. However, it does not mention when not to use it or name alternative sibling tools explicitly, so it earns a 4 rather than a 5.

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