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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false, destructiveHint=false), so the bar is lower, and the description adds real value on top: data provenance (~26 and ~19 FRED series), update cadence ('Daily on FRED release days'), and the granularity of returned data (bucket-level z-scores). It omits return shape details and any latency/rate notes, keeping it from 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?

The content is front-loaded — it names both monitors first, then details their outputs — and packs high information density into a few sentences without filler. It is somewhat list-heavy with series and bucket counts, but every clause carries signal for an agent deciding whether to call it.

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 no output schema, the description carries the return-value burden and largely meets it by enumerating the fields each monitor emits. Combined with annotations covering safety and a fully documented single parameter, an agent has enough to call this correctly; explicit usage routing is the only notable gap.

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% — the single 'monitor' parameter has an enum with a documented default ('Which monitor (default both)'). Per the rubric this earns the baseline 3; the description adds no extra syntax or format semantics beyond what 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?

The description states a specific resource (two macro monitors) and enumerates exactly what each returns — score, regime, direction, structural-vs-transitory, supply shock, recession risk — plus the underlying FRED series counts and bucket counts. It is immediately clear what the tool produces. It does not, however, differentiate itself from confusable siblings such as get_factor_regime or get_money_temperature, so it falls short of a 5.

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?

There is no guidance on when to call this tool versus alternatives, nor on how to choose among the 'both'/'inflation'/'growth' monitors beyond restating the enum default. The only timing hint ('Daily on FRED release days') concerns data freshness, not invocation context. An agent gets no routing help.

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