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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, so no safety contradiction exists. The description adds that the tool returns 'recent observations and source metadata' and only supports terminal-supported series, but it does not explain behavior around limits, date ranges, or unsupported series.

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 focused sentence with useful examples and no filler. It is appropriately concise and 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?

With four parameters, no output schema, and zero schema-level parameter descriptions, the tool description is too incomplete. An agent cannot determine how to use limit or date filters correctly, nor what response shape to expect.

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 carries the burden of explaining parameters. It only hints at seriesId through examples and mentions 'recent observations', but it does not document limit, startDate, endDate, or their behavior.

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 the verb ('get') and resource ('FRED series supported by the terminal'), and gives concrete examples like DGS10 and VIXCLS. It is likely distinguishable from macro.calendar and macro.yield_curve, but it does not explicitly differentiate itself from those siblings.

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 phrase 'recent observations and source metadata for a FRED series supported by the terminal' implies when to use the tool, and the examples suggest valid series identifiers. However, it does not state when not to use it or point to alternatives such as macro.yield_curve or market.history.

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