get_table

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

With no annotations provided, the description carries full burden for behavioral traits. It states it retrieves schema but does not disclose whether it is read-only, required permissions, error behavior for missing tables, or side effects. The only added detail is namespace default, which is minimal.

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 well-structured with Args and Returns sections and front-loads the purpose. However, it is slightly verbose; for example, the Args section repeats information that could be inferred from the schema. It earns its place but could be tighter.

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 presence of an output schema, return value details are covered. However, with no annotations, the description lacks completeness on behavioral aspects (e.g., idempotency, auth, errors). For a 3-parameter read tool, it provides adequate but not comprehensive context.

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?

Input schema has 0% description coverage, so the description must add meaning. It explains 'ref' as a commit reference with format details, 'table_name' as the specific table, and 'namespace' with default. This provides semantic context beyond the schema's type-only definitions.

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 specific action ('retrieve the schema') and resource ('specified data table in the user's Bauplan data catalog'). The mention of returning a schema object further clarifies purpose. Among siblings, only 'get_schema' could overlap, but the description explicitly ties to a table name, distinguishing it.

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 explains the parameters but provides no guidance on when to use this tool versus alternatives like 'get_schema' or 'list_tables'. It does not mention optimal scenarios, prerequisites, or exclusions, leaving the agent without context for selection.

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