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

With no annotations provided, the description carries the burden of behavioral disclosure. It mentions the data grain (monthly), units (bbl, Mcf), and optional date window, but does not disclose behavior around the limit parameter, default state, return format, or edge cases such as invalid dates. This is minimal behavioral information beyond what the tool name implies.

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 two short sentences, front-loaded with the core purpose and then the optional date window. Every word is purposeful, with no fluff or redundancy. It is appropriately concise for the tool's simplicity.

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?

Given the tool has 5 parameters, no output schema, and no annotations, the description is too sparse. It does not mention the limit parameter, the state default, the required county field (beyond the tool name), or the expected return structure. An agent would not have enough context to invoke the tool correctly without additional assumptions.

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 description coverage is 0%, so the description must compensate. It does explain that from/to are optional and expect YYYY-MM format, but it does not explain the required county parameter or the limit and state parameters. The description adds value for only two of the five parameters, leaving the others undocumented.

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's purpose: retrieving monthly oil (bbl) and gas (Mcf) production for a Texas county. It specifies the resource (county production), the units, and the temporal granularity, which distinguishes it from sibling tools like get_operator or list_datasets.

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 implies usage context: it is for getting county-level production data, with an optional from/to date window. However, it does not explicitly mention when to use this tool versus alternatives, nor does it provide exclusion criteria. The usage guidance is primarily about parameter filtering, not tool selection.

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