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

The description discloses useful behavioral details: the data source is 'keyless BLS data', the update frequency is monthly, and the output includes trend, strength_band, top_drivers, and a 12-month series. These go beyond the readOnlyHint and openWorldHint annotations without contradicting them.

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 concise and well-structured: it front-loads the primary output, then gives formula weights, output fields, usage guidance, and update cadence in three sentences. Every sentence adds useful information 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?

For a tool with one optional parameter and no output schema, the description is complete: it explains what the score measures, how it is weighted, what fields are returned, when to use it, and how often it updates. The 'days' history behavior is covered by the schema, and the description handles everything else.

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 single parameter 'days' is fully documented in the schema with a clear description, and the schema coverage is 100%. The tool description adds little about parameters beyond the schema, so the baseline of 3 applies.

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's purpose with a specific verb ('Returns') and a specific resource ('US labor-market health score'), and enumerates the score components. It does not explicitly distinguish this tool from its many siblings, but the unique topic and output fields make the purpose clear.

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 explicit guidance on when to call this tool, listing relevant user intents such as 'US labor-market strength, jobs reports, unemployment, or hiring conditions' and decision contexts like 'timing hiring plans'. It does not mention when not to use this tool or name alternatives, so it stops short of a 5.

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