Detectar patrón de series periódicas en un dataset

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

Annotations already declare the safety profile (readOnlyHint, destructiveHint=false, openWorldHint), so the description's added value is the heuristic caveat and the sampling bound — 'Heuristic over up to 500 rows each' — which tells the agent the answer is approximate and may miss long-range structure. It stops short of saying what happens when fewer than two periodic files exist, which is the main uncertainty left.

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?

Two sentences, front-loaded with the decision the tool answers, then the mechanism, then the heuristic limit. No filler and nothing buried.

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?

With five parameters, an output schema, and full annotation coverage, the description supplies the one thing the structured fields cannot: that the verdict is a heuristic with a row cap. The only gap is behavior on datasets without two comparable periodic resources, which an agent would want before relying on the result.

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 every parameter carries its own description, including the auto-detection behavior for resource_id_new/resource_id_old, so the schema does the heavy lifting. The description reinforces the 'two newest files' default comparison but adds no format, syntax, or enum guidance beyond the schema.

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?

States a specific verb+resource+outcome: determine whether a dataset's periodic files are cumulative or incremental. It also names the mechanism (comparing period values across the two newest files), which no sibling tool does, so an agent can distinguish it from the surrounding list_/search_/get_ 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?

Usage is implied by the decision framing ('newest file suffices' vs 'combine all'), which tells the agent what the result is for, but there is no explicit when-to-use, when-not-to-use, or named alternative — e.g. it never points at preview_resource_data or query_resource_data as the follow-up once the pattern is known.

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