read_datatable

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

No annotations are provided, so the description carries the full behavioral-disclosure burden. It implies a read-only operation and mentions paging behavior, but says nothing about permissions, error behavior, return format, or whether partial row matches are possible.

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?

Two short sentences with no wasted words, front-loading the core action and then compactly describing the two access modes.

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 annotations, no output schema, and 0% schema description coverage, the definition is too sparse. An agent still lacks path semantics, return-shape guidance, and behavioral context needed to invoke or interpret the tool confidently.

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 description must compensate for all four parameters. It adds useful meaning for rows, limit, and offset by describing the row-name versus paging modes, but it never explains the required path parameter or row-name format.

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 and resource: reading rows from a DataTable. It is clear enough to distinguish this from mutation tools like upsert_datatable_rows, though it does not explicitly compare itself with list_datatables or read_asset.

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 explains two access patterns—row names or offset/limit paging—but does not say when to use this tool versus alternatives such as list_datatables or read_asset, nor does it mention prerequisites or exclusions.

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