merge_tables

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals the key behavior of automatic key detection, but it does not explain whether the operation modifies data, creates an output table, requires specific permissions, or how ambiguous or missing keys are handled. The term 'smart' is vague and leaves important side effects unstated.

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, front-loaded sentence with no wasted words. However, it is undersized for a tool with five parameters and no annotations: it communicates the core idea but omits enough detail that the brevity becomes under-specification rather than effective conciseness.

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 tool's five parameters, no annotations, and a vague 'smart' algorithm, the description is far from complete. The presence of an output schema covers return values, but the tool still lacks any explanation of when to use it, how auto-detection works, or what the key_columns override does. An agent would have to guess at critical invocation details.

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 0%, and the description does not compensate. The only parameter-related insight is that key detection is automatic, which hints at the key_columns behavior. However, table_a, table_b, join_type, and output_table are all left with only their schema titles and defaults, with no explanation of expected values or relationships.

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 action: a smart JOIN of two tables with automatic key detection. It identifies both the verb and the resource, and the phrase 'JOIN of two tables' is enough to distinguish it from general SQL query or data comparison tools. However, it does not explicitly contrast it with any sibling tool, so it falls short of full differentiation.

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 gives no indication of when to use this tool versus alternatives like sql_query, compare_tables, or transform_data. It does not state use cases, prerequisites, or scenarios where a different tool would be preferable. The only implicit guidance is that the user has two tables and wants a join.

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