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

With no annotations, the description carries the full behavioral burden. It clearly discloses what the tool returns, that it combines six datasets, that Pro tier is required, and where to obtain the API key. It does not discuss rate limits or error behavior, but the main operational requirements are transparent.

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 compact and well organized, with a one-sentence purpose, a returns summary, access requirements, and a short Args list. It is slightly redundant in mentioning the Pro tier twice, but overall every sentence contributes useful information.

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 moderately complex tool with no annotations and an output schema available, the description is sufficiently complete: it names all six datasets, the composite score, the required tier, and both arguments. It could add explicit differentiation from sibling tools, but nothing essential for invoking the tool is missing.

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?

The schema has 0% description coverage, so the description must compensate, and it does: it documents state_code as a two-letter abbreviation with examples (CA, TX, NY), and api_key as a Pro-tier LaborCurrent API key. This gives the agent full parameter-level guidance beyond the raw 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 states a specific verb ('Get') and a specific resource: a unified state profile combining all 6 datasets. It lists the exact datasets (WARN, LCA, H-1B, DOL, bankruptcy, JOLTS) and a composite distress score, which clearly distinguishes it from siblings like get_state_summary or get_market_pulse.

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 conveys clear context for use: it is for a US state and unifies six datasets. However, it does not explicitly say when to prefer this tool over related siblings such as get_state_summary, nor does it state when not to use it, leaving usage guidance mostly implied.

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