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

With no annotations, the description carries the full behavioral burden and does disclose the key non-obvious trait: the tool returns a URL the user opens in a browser rather than the data itself, and that output is CSV or JSON. It omits secondary traits such as URL expiry or permission requirements, keeping it short of a 5.

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?

Two sentences, no waste, and the core behavior (URL generation) is front-loaded before the usage condition. Every sentence earns its place.

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?

Despite no output schema, the description explains what is returned (an openable download URL in CSV or JSON), and the filter/limit parameters are fully covered in the schema. It is nearly complete; only edge-case behavior like URL lifetime is unspecified.

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 defaults, ranges, and the format enum are already documented. The description only adds framing for format ('CSV for spreadsheets, JSON for code'), which is a marginal value-over-schema contribution, matching the baseline 3.

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 a specific verb and resource: 'Generate a download URL for the pricing history export.' This clearly distinguishes it from the sibling get_pricing_history, which returns data rather than a downloadable artifact, so an agent can pick correctly without opening schemas.

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?

'Use this when the user asks to export, download, or save pricing data' gives an explicit triggering condition. It stops short of naming alternatives (e.g., when to use get_pricing_history instead of exporting), so it is clear context without exclusions.

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