get_dataset_activity_v1_datasets__provider___dataset__activity_g

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 that the tool returns events in reverse chronological order and lists event types (enrichment, ingestion, schema changes). This adds behavioral context beyond the schema. However, it does not mention pagination, rate limits, or any potential side effects, though being a read-only GET makes that less critical.

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 extremely concise—two sentences—and front-loads the endpoint, purpose, and event types. Every sentence adds value with 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?

For a simple activity fetch tool with no output schema, the description covers the key aspects: what events are returned and their order. However, it omits how the 'limit' parameter affects results (e.g., default, max). Given the absence of output schema, a bit more detail on the response structure would improve completeness.

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 only 33% (only 'limit' has a description). The description does not add meaning for the 'provider' or 'dataset' parameters beyond what the schema provides. Since coverage is low, the description should compensate but does not. Baseline score of 3 is appropriate as the schema already defines types and constraints.

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 purpose: 'Get recent activity events for a dataset.' It specifies the HTTP method, path, and that it returns system events (enrichment, ingestion, schema changes) in reverse chronological order. This is a specific verb-resource pair that distinguishes it from sibling dataset tools like get_dataset_meta or get_dataset_sources.

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 explicitly says 'Used for the activity feed on dataset pages,' which gives a clear usage scenario. However, it does not mention when not to use this tool or provide alternatives among the many sibling tools. No exclusion criteria or context for differentiation is given.

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