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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds valuable context about data source (CF analytics-engine), privacy (no PII), and caching (5min-1h). No contradictions exist, and the description enhances understanding of the tool's behavior beyond what annotations provide.

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 concise at around 5 sentences, with a clear structure: first sentence defines the core function, followed by a bulleted list of three use cases, and then details on data sourcing and caching. Every sentence adds value, no 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 no output schema, the description adequately explains the return value (top tools, top packs, total call volume) and data provenance. It could be slightly improved by specifying the output format (e.g., list with counts), but the current detail is sufficient for an agent to invoke 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?

Schema description coverage is 100%, and the schema already explains the 'window' parameter well (enum values and their implications). The description reinforces the parameter indirectly through use cases but does not add new semantic details. Per the baseline rule, score is 3.

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 precisely states the tool returns 'top tools, top packs, and total call volume' based on other agents' usage. It clearly identifies the resource (Pipeworx trending data) and the action (retrieve trending tools and packs). This distinguishes it clearly from sibling tools like 'ask_pipeworx' or 'discover_tools', which serve different purposes.

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?

Three explicit use cases are listed: discovering hot data sources, confirming popular tools before asking, and checking use case alignment. While it doesn't explicitly mention when not to use or compare to alternative tools, the provided use cases give strong contextual guidance for usage.

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