analyze_dataset

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

With no annotations, the description carries the full behavioral burden, yet it discloses almost nothing beyond the operation name. It does not say that plot=true likely writes plot artifacts to disk, what the profile output looks like or where it goes, or whether the target file must already exist — the plot default of true is a side effect left unexplained.

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?

A single front-loaded sentence with no waste; scope is stated immediately. It is efficient, though its brevity comes partly at the cost of the missing detail noted elsewhere.

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?

For a 4-parameter tool that produces plots (default on) and involves regression, the description is too thin: no output-schema exists to fill the gap, so what is returned, how max_columns truncates, and what the plotting side effect does are all left unspecified.

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%, so the schema documents none of the 4 parameters. The description only loosely implies 'target' (regression) and 'plot', leaving 'path' and 'max_columns' (a truncation/performance control) entirely unexplained in both places.

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?

'Profile a CSV file' gives a clear verb+resource, and the colon-list ('numeric summaries, correlations, optional target regression and plots') specifies the scope precisely. It does not explicitly distinguish itself from close siblings like describe, describe_file, correlation, or linear_regression, which it arguably bundles.

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 when-to-use or when-not-to-use guidance is given. Since siblings such as describe, describe_file, correlation, and linear_regression overlap heavily with this tool's capabilities, an agent gets no signal for choosing this bundled profiler over the narrower tools.

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