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

No annotations are provided, so the description carries the full behavioral burden and falls short: it does not say whether 'input' is a file path or raw CSV text, whether it touches the filesystem, or how many columns/rows are supported. It does at least imply a read-only computation, but key operational behavior is undisclosed.

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?

One compact sentence that front-loads the verb and resource and lists the returned statistics without any 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?

With no output schema, the description helpfully names the metrics returned, but it leaves the required 'input' parameter's format undefined and omits any note about which columns are numeric-only or how non-numeric columns are handled. Adequate but with a real gap for a single required param.

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?

The single parameter 'input' has 0% schema description coverage, so the description must compensate. 'over a CSV' hints the argument is CSV-related but never clarifies whether it expects a path, raw CSV content, or a URL, leaving a critical ambiguity for a required parameter.

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?

States a specific verb (compute) and resource (per-column summary statistics over a CSV) and enumerates the exact statistics produced (count, min, max, mean, median). This implicitly separates it from csv_filter, csv_sort and csv_split, though it never names an alternative explicitly.

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?

There is no guidance on when to use this tool versus the other csv_* siblings, nor any stated prerequisites or exclusions. The usage context must be inferred entirely from the name and description.

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