read_excel_table

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

Annotations already declare readOnlyHint=true, and the description adds behavioral context about supporting 'compact table payloads,' 'object-shaped record output,' and 'inferred schema hints.' While useful, these terms are vague and not fully explained, leaving some behavioral transparency gaps.

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 description is two concise sentences with the primary purpose front-loaded. The second sentence adds key capabilities without redundancy or excessive detail.

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 11 parameters, no output schema, and minimal annotations, the description is insufficient for confident invocation. It omits return format, parameter behaviors, and differentiation from the many sibling read tools, leaving significant gaps.

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%, and the description does not compensate by explaining parameter meanings. It mentions 'compact' and 'inferred schema,' but does not map these to schema properties, leaving most of the 11 parameters undefined.

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 clearly states 'Read a native Excel table by its table name,' specifying a distinct verb, resource, and scope. This differentiates it from sibling tools like read_data_from_excel and read_excel_as_table, which likely handle ranges or non-native tables.

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 implies usage for reading native Excel tables via their table name, providing clear context for when to use it. However, it does not explicitly mention alternatives or exclusions, so it stops short of full usage guidance.

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