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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety and scope are covered structurally. The description adds genuinely non-structural behavior: it is free against the daily quota, and its payload is a structure map plus a snapshot of current state (latest digest date, theme headline risks, next rate decisions with research tally, provider count). It does not describe response shape or size, but with annotations carrying the safety profile this is solid added context.

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 imperative "Call first" is correctly front-loaded ahead of all detail. The remainder is a single long em-dash sentence that packs the layer list, the conventions promise, and four snapshot items; every clause carries information, but the density and nested punctuation cost some readability.

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 parameters, no output schema, and rich annotations, the only thing an agent needs is what the tool returns and why to call it — both are spelled out (layer-to-tool map, result conventions, and a concrete list of current-state facts). Nothing material is missing for an orientation tool.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate beyond confirming a no-argument call, which is implicit. Baseline 4 applies for a parameterless tool.

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 precisely: a map of what FinChiefs contains by layer (research house views, Daily Digest, Investment Themes board, policy makers, official data) plus current-state facts. It is clearly an orientation/meta tool, distinguishable from every sibling because it describes the whole surface rather than one dataset. It never names a sibling tool by name for contrast, which keeps it just 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?

Opens with an unambiguous directive — "Call first" — that tells the agent exactly where this sits in the call sequence. The follow-on "Costs nothing against the daily allowance" reinforces that it is a safe, free prerequisite rather than a substitute for the per-layer tools. No competing alternative is left to inference.

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