Triage reviews into themes (Sampling)

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

With no annotations provided, the description carries the full burden. It discloses the sampling mechanism and that it's a read-only operation ('Pull ... reviews'), which is sufficient for an analytical tool. It also notes 'Pro feature,' indicating a potential constraint. However, it could mention scope limits or data retention briefly.

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 three sentences, front-loading the primary function. The second sentence about sampling cost is relevant context. A minor improvement would be integrating the 'Pro feature' note more naturally, but overall not verbose.

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 (sampling, 4 parameters, no output schema), the description covers the main action, output structure, and a key constraint (Pro feature). It could mention the data source recency or how action buckets are determined, but it is largely complete for an analytical tool.

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 coverage is 100% with each parameter described. The description adds no additional parameter-level insights beyond what the schema already provides (e.g., app_id pattern, limit hard cap). Baseline score of 3 is appropriate as the schema is self-sufficient.

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 action ('Pull recent App Store reviews and use MCP Sampling to cluster them'), the resource (App Store reviews), and the output (themes with counts, quotes, action buckets). It distinguishes itself from sibling tools like list_reviews by adding clustering functionality.

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 theme analysis of reviews but does not explicitly state when to use this tool versus alternatives (e.g., list_reviews for raw data). It mentions the sampling cost benefit but lacks exclusion criteria or prerequisite context.

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