create_offer_metadata_fieldgroup

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

No annotations are provided, so the description bears full responsibility. It discloses the confirmation requirement and preview behavior, but does not specify what happens if a fieldgroup with the same name exists or what the preview output looks like. The transparency is adequate but incomplete.

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 concise, consisting of two sentences. The main action is front-loaded, and additional constraints follow. It is efficient with no filler.

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 has 4 parameters, no output schema, and no annotations, the description covers the core functionality and the key constraint (confirmed flag). However, it lacks details on error handling, prerequisites, and what the preview returns. It is functional but could be more complete.

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 100%, so the description adds minimal new meaning beyond restating schema descriptions. It does clarify the purpose of csv_text and the confirmed flag's role, but this is largely redundant with the schema.

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 it creates an XDM fieldgroup from CSV column names and attaches it to a schema. The verb 'create' and resource 'fieldgroup' are specific, distinguishing it from sibling tools like 'create_collection' or 'add_schema_field'.

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 notes it checks for existing fieldgroup and requires confirmed:true to execute, implying a preview mode. While it does not explicitly list when to use vs alternatives, the context and sibling names provide differentiation.

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