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

Adds substantive behavioral details beyond the read-only and open-world annotations: it states the latest OEDI release is selected automatically, values are US-focused real dollars as published by NREL, and it specifies the pay-per-success model with x402 on Base, Solana or Arc. The explicit note that failed calls are not charged is important operational context for an agent.

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 three tight sentences with the data source and purpose front-loaded, followed by geographic/value scope and then payment behavior. Every sentence adds useful information for an agent deciding whether and how to call the tool.

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 that an output schema exists, the description does not need to explain return formatting. It covers the source, vintage-selection behavior, metric scope, time horizon, geographic/value basis, parameter dimensions, and payment terms, leaving little ambiguity 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 description coverage is 100%, so all eight parameters are already documented in the input schema. The description reinforces the metric and scenario dimensions and adds the 2050-2060 horizon, but does not add meaningfully more parameter-level guidance than the schema already provides.

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?

States that the tool returns NREL ATB electricity cost projections from the OEDI data lake, naming specific metrics (LCOE, CAPEX, O&M, capacity factor) and dimensions (technology, resource class, year, scenario). The NREL ATB and US-focused framing clearly distinguish it from broader or sibling cost data tools.

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 explains what the data covers but gives no explicit guidance on when to use this tool versus alternatives such as IRENA renewable cost data or EIA statistics. It also includes no exclusions or prerequisites beyond the payment model.

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