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

Annotations only cover the safety profile (readOnlyHint, openWorldHint=false), and the description adds genuinely new behavioral context: hard caps of 10 rows, 12 columns, 64 KiB, the fact that storage is read but the file is not fully downloaded, and an explicit prompt-injection warning that preview cells are untrusted data.

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?

Three short sentences, zero filler, and the output shape and its limits are front-loaded before the safety caveat. Every clause carries information an agent needs.

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 correctly carries the return-format burden by specifying CSV and its caps. Remaining gap is modest: the slug's semantics and the choice against sibling tools are not covered for this one-parameter tool.

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 single 'slug' parameter is documented nowhere else. The description implies slug identifies 'one published dataset' but never states expected format, whether the dataset must be published, or what happens on an unpublished/unknown slug, so it only partially compensates.

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 and resource ('Return a small CSV preview for one published dataset') with concrete scope limits. The role is clearly distinct from siblings like get_dataset_details and generate_loader_code, though no sibling is named explicitly to sharpen the boundary.

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?

Usage is only implied: 'CSV files are not downloaded in full' suggests a lightweight peek before committing to a download or loader generation, but the description never says when to choose this over get_dataset_details or generate_loader_code. No exclusions or prerequisites are given.

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