glue_table

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

No annotations are provided, so description carries full burden. It discloses that the tool resolves actual data files from Iceberg manifest and handles non-standard data locations. It also indicates the side effect of creating a view. No contradictions.

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 six lines, each adding unique value: main action, behavioral details, usage syntax, and post-call query example. No redundant or filler content.

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 complexity of registering a view and the presence of an output schema (though not shown), the description covers the essential behavioral and usage aspects. It could mention what the tool returns, but output schema likely fills that gap.

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?

With 0% schema description coverage, the description compensates by specifying the parameter format 'database.table_name'. The input schema only has a title 'Table Name', so description adds significant meaning.

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 registers a Glue Iceberg table as a queryable DuckDB view, with specific verb 'Register' and resource 'Glue Iceberg table'. It also explains it resolves data files from Iceberg manifest, distinguishing it from siblings like describe_table or list_tables.

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 provides explicit usage syntax 'glue_table('database.table_name')' and post-call query example 'SELECT * FROM database__table_name'. It implicitly guides when to use this tool, but does not explicitly state when not to use or mention alternatives.

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