add_lookup_table_row

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

No annotations provided, so description carries the burden. It discloses that the table must have a defined schema and that entry_json is a JSON object string. However, it omits any details about permissions, return values, error behavior, or consequences of appending (e.g., duplicates).

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?

Three short sentences, with the primary action front-loaded. Every sentence adds useful information without waste.

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 two-parameter append tool with no output schema, the description covers the essential aspects: purpose, required input format, a prerequisite (schema), and a typical use case. It lacks error or return details, but these are less critical for a straightforward operation.

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%, but the description adds meaning to entry_json by specifying it is a JSON object string {column: value}. table_id is not explained, though its name is fairly self-explanatory. Partially compensates for low coverage.

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?

Clearly states 'Append a row to a lookup table' with a specific verb and resource. Distinguishes from sibling tools like add_data_table_row by explicitly targeting lookup 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?

Provides a clear use case: 'Useful for writing capture/log rows.' This gives context for when to use the tool, though it does not explicitly mention alternatives like add_data_table_row.

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