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

No annotations and description provides no behavioral context beyond data source. Agent doesn't know if it's read-only, what operations it performs, or any side effects.

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?

Single phrase is brief but sacrifices necessary detail. It's front-loaded but incomplete.

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?

Description covers only data source, lacking return format, parameter usage, and sibling differentiation. Agent likely cannot use this tool effectively.

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?

Description provides no explanation of parameters limit and series_id, even though schema coverage is 0%. Agent has no context on how to use them.

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?

Description states it deals with FRED economic data series but lacks a specific verb or resource scope. It doesn't distinguish from sibling tools like economic_indicators or fred_surprises.

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?

No information on when to use this tool versus siblings like economic_indicators or fred_surprises.

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