add_field

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

Given no annotations, the description carries the full burden. It discloses mutation ('Mutates the input dataset schema') and a safety constraint ('dataset must be inside a PathGuard allowed root'), which are essential behavioral traits.

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 consists of three concise sentences: purpose, usage context, and behavioral detail. No wasted words; each sentence adds distinct value.

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 field addition tool with one parameter object, the description covers purpose, usage, mutation, and safety. An output schema exists (not shown but indicated), so return value details are unnecessary. Missing details like field type defaults are in the schema.

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 reported as 0%, so the description must compensate. It only restates the overall purpose ('Add one attribute field...') without explaining individual parameters. The schema itself contains descriptions, but according to the context signals, coverage is low, and the description does not mitigate this.

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 adds one attribute field to an existing feature class or table using ArcPy AddField. This is a specific verb+resource that distinguishes it from add_fields_batch, which adds multiple fields at once.

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 provides explicit usage context: 'Use this to prepare schema before imports, joins, calculations, or manual editing.' However, it does not explicitly state when not to use this tool or directly compare to alternatives like add_fields_batch.

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