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

Annotations already declare read-only safety. Description adds failure mode (HTTP 503 with no charge when upstream unavailable), cost ($0.10 USDC per call via x402 SLA), and data_source provenance field. Slight redundancy in the two identical 503 statements, but overall meaningful behavioral context beyond annotations.

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?

Information is front-loaded with metric list, but the 503 status is repeated twice in slightly different wording, adding unnecessary length. The SLA/cost line is useful but could be more compact.

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?

No output schema exists, so the description should clarify the response structure, but it only mentions the data_source field. The focus parameter's effect and the definition of tight/balanced/loosening signal are also unspecified. Despite rich operational details, these gaps make it incomplete for an agent.

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 has one optional focus parameter (employment/wages/openings/all) with no descriptions (0% coverage). The description lists metrics but doesn't explain how focus selects among them, leaving the agent to infer the mapping. This is a significant gap for correct invocation.

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?

Description specifies the tool retrieves live labor market benchmarks from FRED, naming concrete metrics (unemployment, U-6, JOLTS, quit rate, labor participation, weekly claims, wage growth) and a derived tight/balanced/loosening signal. This clearly distinguishes it from sibling benchmark tools covering different domains.

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?

Clearly contextualizes usage for macro agents and portfolio managers and emphasizes the live source and SLA pricing, aiding selection. However, it doesn't explicitly contrast with overlapping siblings like get_job_openings_intelligence or get_employment_cost_index.

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