get_crude_oil_inventories

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

Annotations already indicate readOnlyHint=true, idempotentHint=true, etc., so the description adds contextual behavior: 24-hour caching via a parameter, weekly release schedule, and the requirement of an EIA_API_KEY. No contradictions 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 a single, well-structured paragraph: first sentence states purpose, second provides details, third gives interpretation, fourth mentions API key. It is concise with no wasted words, and all information is front-loaded.

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?

The description covers the data content, release timing, interpretation, and authentication. However, it does not explicitly state the return format (e.g., JSON), which would be helpful for an AI agent using the tool. Given no output schema, a minor gap exists, but overall it is complete enough for the tool's simplicity.

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 100% coverage for the single boolean parameter 'use_cache', with a clear description. The tool description adds context about why caching is appropriate (weekly data), but the schema already provides the semantic meaning. Baseline 3 is appropriate given high coverage.

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 that the tool fetches EIA weekly crude oil inventory data, specifies what it covers (US commercial crude stocks, Cushing Oklahoma, field production), and explicitly links it to CL futures bot. It is well differentiated from the many sibling tools, most of which are unrelated to this specific data fetch.

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 clear guidance on when to use the tool (as a critical signal for CL futures), includes release timing (Wednesdays ~10:30 AM ET), and explains how to interpret the data (build/draw vs estimates). It mentions the API key requirement. While it does not explicitly state when not to use or name alternative tools, the context is sufficient for an AI agent to determine appropriate usage.

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