compare_table_structures

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

With no annotations provided, the description must disclose behavioral traits. It states the tool shows column differences and type mismatches, implying a read-only comparison. However, it lacks details on required permissions, error conditions, or whether changes are made. The behavior is adequately described for a comparison tool but not fully comprehensive.

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 concise at two sentences, with key information front-loaded using an emoji and bold text. Every sentence adds value: the first states the action and recommendation, the second explains the output and its importance. No wasted words.

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 has 8 parameters, no output schema, and zero schema descriptions, the description is too brief. It explains the high-level purpose but fails to specify the output format or how parameters relate to source/target identification. For a complex tool with many siblings, more detail is needed.

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 coverage is 0%, meaning the input schema has no parameter descriptions. The tool description does not explain any of the 8 parameters (e.g., source_datasource, target_schema), leaving the agent to infer from names alone. This is a significant gap that the description fails to fill.

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 function: side-by-side comparison of source and target schemas to show column differences and type mismatches. It positions itself as the recommended first step before running data checks, distinguishing it from sibling tools like run_schema_check which execute actual checks.

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 explicitly advises using this tool BEFORE running data checks and as a recommended first step, providing clear context for when to use it. However, it does not mention when not to use or suggest specific alternatives among the sibling tools.

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