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

Annotations already establish readOnlyHint=true, so the safety profile is covered. The description adds useful behavioral detail beyond that: what is returned (storage location and snippets), where snippets come from (the dataset's schema card), and graceful degradation ('generated as a fallback'). It omits any note on auth or availability for private archives, which keeps it from a 5.

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 resource and payload before the usage condition; every clause carries information. Minor cost from the capitalized 'YOUR OWN' emphasis, which is stylistic rather than substantive.

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 two-parameter read tool with full schema coverage and no output schema, the description explains both the return contents and the fallback behavior, which is enough to call it correctly. It could add a brief note on dataset access restrictions or whether the returned snippets are environment-specific, but the remaining gap is small.

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%, so the id and optional language filter are already documented in the schema, including the 'Archive id from search_archives' source and example language values. The description adds no syntax or format guidance beyond that, making the baseline 3 appropriate.

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 ('Get how to load a dataset') and defines the exact payload ('storage location plus copy-paste code snippets'). It also distinguishes itself from the hosted-notebook route ('rather than in a hosted notebook'), so an agent can separate it from get_sample_notebook without opening either schema.

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 gives clear usage sequencing ('Use this after finding a dataset') and a condition for selection ('when you want to run analysis where you are, rather than in a hosted notebook'). It does not name the alternative tool explicitly, but the exclusion is unambiguous.

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