compare_tables

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 explains what the output categories are, but does not state whether the operation is read-only, how keys are matched, what happens when key columns are not unique, or whether this can be expensive on large tables.

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 short, front-loaded, and free of fluff. However, for a tool with five parameters and no schema descriptions, this level of brevity becomes under-specification rather than appropriately sized 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?

The tool has five parameters, three required, and no annotation support or schema descriptions. The description conveys only the general purpose and omits critical input semantics, mode behavior, and how it relates to sibling comparison tools. The existing output schema does not compensate for missing input guidance.

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 adds no parameter-level meaning. It does not explain how to specify key_columns, compare_columns, or how mode alters results; the enum values are self-descriptive but the crucial column-format details are absent.

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 states a specific operation, comparing two tables, and lists concrete result categories: common/unique rows and discrepancies. This separates it from merge_tables and sql_query at a high level, though it does not explicitly name a sibling alternative.

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?

No guidance is given for when to use this tool versus siblings such as merge_tables, find_duplicates, or sql_query. There is no mention of prerequisites, supported table sources, or which mode to pick in which scenario, so usage must be inferred entirely from the tool name and description.

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