Db Tables

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. The verb "List" implies a read-only, non-mutating operation, which is a reasonable inference, but nothing is said about result size, pagination, or scope (all tables vs. prefix-filtered). For a zero-parameter read tool the risk is low, but the disclosure is thin.

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?

A single, front-loaded sentence with no filler or redundancy. It is efficient, though it is arguably so terse that it borders on under-specification given the several related table-related siblings.

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 parameters and an output schema available to explain the return shape, the description covers what an agent needs to invoke the tool correctly. The only shortfall is the absence of any note about scope or how it relates to db_table_info/db_query, which would help selection among siblings.

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 tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline is 4. The schema declares no properties, so no compensating detail is required.

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 ("List all database tables"), so an agent immediately knows this is an enumeration of DB tables. It does not, however, distinguish this from close siblings such as db_table_info (presumably per-table detail) or db_query, leaving the agent to infer the boundary between them.

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 versus db_table_info, db_query, or db_count. The description gives no prerequisites, no filtering context, and no indication of when this is the right starting point versus the alternatives.

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