get_table_content

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

No annotations are present, and the description only states that the tool returns formatted text or error. It does not disclose read-only nature, potential side effects, or any constraints, leaving behavioral traits largely unspecified.

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 very short and front-loaded with the core purpose. It avoids unnecessary words, though it could include more detail without becoming verbose.

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?

Given the tool's simplicity (one parameter, basic get operation) and the existence of an output schema, the description is minimally adequate. However, it lacks details about what 'all content' includes and error scenarios.

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 input schema's single parameter (table_index) is an integer, and the description adds that it is '0-based,' which adds minimal value beyond the schema. With 0% schema coverage, the description partially compensates but is still sparse.

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 'Get all content from a specific table,' specifying the verb and resource. It does not, however, differentiate this tool from siblings like get_table_data or get_tables_info, leaving some ambiguity.

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 on when to use this tool versus alternatives. The description lacks explicit context for usage, such as prerequisites or scenarios, making it hard for an agent to decide when to invoke it.

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