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

No annotations are provided, so the description carries the full burden. It only lists the returned content (tables and SQL queries) and mentions 'validated' queries, but doesn't disclose side effects, access requirements, or error behavior. The safe read-only nature is implicit rather than explicit.

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 one concise sentence with no filler. However, it is a noun phrase fragment rather than a clear imperative sentence, which slightly reduces readability. It is front-loaded with the most important content but could be structured more directly.

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 no output schema, no annotations, and an undocumented parameter, the description is insufficient for an agent to fully understand the tool. It doesn't explain what 'tables and validated example SQL queries' will actually be returned, how they relate to the product, or how this tool compares to similarly named siblings.

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?

The single required parameter 'slug' has a 0% schema description coverage and the description does not explain its meaning or format. While 'one Dataplex product' implies slug identifies a product, this is not concrete enough for an agent to know exactly what value to provide.

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 identifies the tool's output as 'Tables and validated example SQL queries for one Dataplex product', which clarifies content but lacks a clear verb like 'retrieves' or 'returns'. It does not explicitly state this is about a data dictionary, and overlaps with sibling tools like get_sample_data and get_snowflake_trial_sql.

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 phrase 'enough to plan an analysis before subscribing' implies use in a pre-subscription planning context, but no explicit alternatives or exclusions are given. It doesn't differentiate from sibling tools such as get_product_details or get_access_options.

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