table_table_write

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

No annotations are provided, so the description must fully disclose behavioral traits. It reveals the basic operation and return value but omits critical details: overwrite vs append behavior, delimiter default meaning (null implies comma?), error handling, directory creation, and side effects. This lack of transparency could lead to incorrect invocations.

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 exceptionally concise: two sentences that immediately state the action, resource, key constraint, and return value. Every sentence adds value without redundancy, and it is front-loaded with the primary purpose.

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, the description covers the core action but lacks completeness for a write operation. It does not specify CSV formatting (quoting, escaping), conflict resolution (overwrite vs append), or error behavior. With no annotations and an output schema not shown, the agent has insufficient context for reliable use.

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. It adds meaning for the 'rows' parameter by specifying it must be a JSON array of objects. However, it does not explain 'filepath' (path format or locality) or 'delimiter' (null semantics or allowable values), leaving gaps that the schema alone does not fill.

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 the tool writes rows to a CSV file, specifying the action ('Write rows') and resource ('CSV file'). It differentiates from siblings like table_table_read (which reads) and file_file_write (which writes raw data) by focusing on CSV rows. The requirement that rows be 'a JSON array of objects (string)' adds precision.

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 writing tabular data to CSV but offers no explicit guidance on when to use this tool vs alternatives like file_file_write or when not to use it. There is no mention of prerequisites, conflict handling, or edge cases, leaving the agent to infer from context.

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