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

The description discloses valuable behavioral context beyond the readOnlyHint/destructiveHint annotations: it names the upstream source (FRED), update frequency (daily), failure behavior (HTTP 503 with no charge, with a specific threshold '>50% of fields'), cost ($0.10 USDC), and the provenance field (data_source: fred_api/fred_csv/fred_mixed). No contradiction with 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?

The description is moderately concise but contains redundancy: the HTTP 503 (no charge) clause appears twice in slightly different forms, and 'Live source' is repeated near the 'Live commodity price benchmarks' opener. The structure front-loads the core purpose, but the extra detail could be tightened.

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 simple read-only tool with one optional enum parameter and no output schema, the description is fairly complete. It covers data source, update frequency, target audience, failure behavior, cost, and hints at response content (weekly/monthly changes, inflation signal, data_source field). It lacks an explicit description of the return structure, but given the low complexity, the gap is acceptable.

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 one optional parameter 'category' with an enum (energy/metals/agriculture/all), but the description does not explain how this parameter affects the response. It lists example commodities from different categories but never directly maps the 'category' parameter to filtering behavior. With schema description coverage at 0%, the description should compensate, but it fails to do so.

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 identifies the tool as providing live commodity price benchmarks for a specific set of commodities (WTI crude, natural gas, gold, copper, wheat, soybeans) plus weekly/monthly changes and an inflation signal. It is a specific verb+resource+scope, but it does not explicitly distinguish itself from siblings like get_copper_price_benchmark or get_agricultural_commodity_benchmark.

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 provides context ('For traders and macro analysts') and lists the specific commodities covered, which implies usage scenarios. However, it does not explicitly state when to use this tool versus sibling tools, nor does it mention when not to use it. The guidance is implied rather than explicit.

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