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

With no annotations provided, the description carries the full burden for behavioral disclosure. It reveals the tool's primary behavior (returning profile fields) and the special behavior when name is omitted. It does not mention side effects, but as a profile/lookup tool, the read-only nature is implied and no contradictory hints exist.

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 two short sentences, front-loaded with the core purpose and followed by a usage tip. Every word adds value—the list of contained data is specific, and the omit-name note is actionable with no redundancy.

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 (one optional param, no output schema), the description is complete. It lists the key return fields and explains both invocation modes (with and without name). This is sufficient for an agent to understand what to expect and when to use it, even without an output 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 coverage is 100% (the 'name' parameter is described). The description adds semantic value beyond the schema by explicitly stating that omitting 'name' lists employers, which explains the param's optionality and behavior. This goes beyond the baseline of simply repeating schema information.

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 provides a 'Profile of an Alaska public-sector employer' with specific data points ('current openings, hiring pace, typical posted pay'), and also explains the list mode when 'name' is omitted. This distinguishes it from sibling tools like get_job or get_salary_data, which focus on other entities.

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 gives clear context for when to use the tool (to get an employer profile or list employers) but does not explicitly mention alternatives or exclusions relative to sibling tools. The 'Omit name' instruction provides conditional usage guidance, though no direct comparison to other tools is made.

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