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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what is returned (metadata fields) and implies a read-only operation, but does not specify potential errors, permission requirements, or behavior for invalid slugs. For a simple retrieval tool this is adequate but not rich.

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 a single, compact sentence that front-loads the key phrase 'Full metadata' and then lists concrete content fields. Every word earns its place, with no filler or 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 tool with a single parameter and no output schema, the description provides a solid list of return fields, making the tool's output predictable. It does not explain how to construct the slug or handle errors, but those are minor gaps for this level of complexity.

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 input schema has one required parameter, 'slug', with no schema-level description. The tool description mentions 'one Dataplex product' but does not explicitly define what the slug parameter is or how it should be used. With 0% schema description coverage, the description should compensate more than it does.

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: returning full metadata for a single Dataplex product, and enumerates the specific fields included (description, tables, update frequency, price, docs, Snowflake Marketplace listing). This distinguishes it from sibling tools like get_pricing or get_data_dictionary by emphasizing comprehensive metadata.

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 implies when to use this tool—when you need complete metadata for one specific product—but does not explicitly mention alternatives or exclusions. Sibling tools like get_pricing or get_data_dictionary are not referenced, so an agent must infer the boundary from the listed fields.

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