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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description's only added behavior is source provenance (FRED, FFIEC, Freddie Mac PMMS); it omits frequency (quarterly vs monthly), units, revision/availability lag, and how multiple heterogeneous series are aligned — meaningful gaps for a time-series tool.

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?

A single front-loaded sentence enumerating the series, followed by a parenthetical source note; nothing is wasted. The series list is dense but each item earns its place by defining scope.

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 one optional parameter, read-only annotations, and no output schema, the definition is close to sufficient. It still leaves the agent guessing about return granularity and how the requested quarters map onto series of differing native frequency.

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 coverage is 100%, with the single 'quarters' parameter documented including default 20 and max 200. The description adds nothing about the parameter and does not reconcile a quarters-based window with monthly series like CPI or mortgage rates, so the baseline 3 applies.

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 names the resource concretely by enumerating the exact series returned (rates, yield curve spreads, breakeven inflation, mortgage rates, unemployment, CPI, GDP), which lets an agent tell it apart from siblings like industry_benchmarks or bank_trends. It lacks an explicit verb such as 'fetch' or 'returns', but the data scope is unambiguous.

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 guidance on when to call this versus sibling tools, nor any stated preconditions. The word 'context' implies it is backdrop alongside industry or bank analysis, but that is inference rather than stated guidance, and no alternatives are named.

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