compare_datasets

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

With no annotations, the description fully bears the burden of behavioral disclosure. It does not state read-only nature, data sensitivity, permission requirements, error conditions (e.g., missing datasets), or rate limits. The 'side-by-side' phrase hints at read-only but is insufficient.

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 single sentence is efficient and front-loaded with the core action. It covers multiple aspects without excessive length. However, it could be slightly more concise by omitting 'side-by-side' which is implied.

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 3 parameters and no output schema, the description describes the purpose and scope of comparison adequately but omits return format, time range implications, and assumptions about first dataset defaulting.

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 100%, so the baseline is 3. The description adds context by listing compared aspects, but does not enhance parameter understanding beyond schema details (e.g., no format, constraints, or default values).

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 verb 'Compare' with a clear resource 'two Interaction Studio datasets' and lists the specific aspects compared (counts, campaign states, segment populations, recipe linkage, and activity). This clearly differentiates it from sibling tools that handle individual datasets or audit functions.

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 no guidance on when to use this tool versus alternatives like audit_dataset or get_dataset. There is no mention of prerequisites, exclusion criteria, or when comparison is beneficial.

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