hr.generate_offer_letter

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention side effects (e.g., whether the letter is sent, stored, or requires approval) or output format. For a generation tool, this lack of impact disclosure is a significant gap.

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?

A single, well-structured sentence that immediately states the tool's action and core inputs. Every word earns its place, with no redundancy or 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?

The tool is simple, but with no output schema and no annotations, the description should explain what the return value or side effect is. It does not clarify whether the offer letter is generated as a file, a draft, or an email. This leaves the agent guessing about the tool's end result, making it minimally 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% with meaningful descriptions for all three parameters. The description adds only a slight rephrasing ('specified compensation and start date') without introducing new semantic details beyond the schema. Baseline 3 is appropriate.

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 uses a specific verb ('Generate') and resource ('formal offer letter'), clearly distinguishing it from sibling tools like hr.review_candidate or hr.update_employee. It also specifies key inputs (compensation and start date), making the tool's function unambiguous.

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?

While it does not explicitly state when-not to use or name alternatives, the tool's purpose is singular and self-evident: generating an offer letter. The context is clear enough for an agent to infer when it applies, though explicit guidance about when to prefer other HR tools is absent.

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