gcfr_transform_stats

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

Since no annotations are provided, the description carries the burden of explaining behavior. It discloses default date behavior, optional ctl_id filtering, and the kind of statistics returned. It also implicitly indicates a read-only verification operation, though it does not discuss response shape or pagination.

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 compact and front-loaded: purpose, use case, defaults, and optional filtering each get one clear sentence. There is no filler and no repetition.

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 three optional parameters and an output schema, the description is complete enough for correct invocation. It explains what the result contains, the default date range, the optional filter, and the intended verification use case.

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 0%, so the description must compensate. It explains that date_from and date_to default to yesterday and today, and that ctl_id is an optional filter. This gives meaningful semantics for all three parameters, though it does not specify date formats or value 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 states a specific verb and resource: 'Show transformation statistics' and then details the exact output: 'rows inserted, updated, and deleted per process.' This clearly separates it from sibling tools like gcfr_load_stats, gcfr_stream_status, and gcfr_process_history.

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?

It provides an explicit use case: 'Use this to verify data movement through the warehouse.' It does not mention when not to use it or name alternative tools, but the context given is clear enough for an agent to understand the intended scenario.

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