tables_schema

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does not state whether the operation is read-only, what the returned schema structure looks like, or how errors are handled. The description is not misleading, but it reveals almost no behavioral detail.

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 a single short phrase with no filler or redundancy. It is easy to parse and front-loads the core subject, though it is minimal enough that brevity is not a substitute for missing 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?

For a simple one-parameter tool the description states the core subject, but with no annotations, no output schema, and no parameter clarification, it leaves the agent to infer both how to call it and what to expect in return. It is not fully inadequate, but it has clear 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?

The single parameter table_s has 0% schema description coverage, and the description only implies through 'multiple tables' that more than one table may be involved. It does not explicitly clarify that table_s contains table names, how names should be formatted, or what happens for unknown or invalid tables.

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 identifies the resource ('schema') and scope ('a table or multiple tables'), and it is distinguishable from sibling tools that handle sample data, table listing, and query execution. However, it lacks an explicit verb such as 'returns' or 'fetches', so it is clear but not fully specific.

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 guidance is provided about when to use this tool versus list_tables, get_sample_data, or run_a_query. It does not mention prerequisites, limitations, or expected input context, leaving the agent to infer usage entirely.

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