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

The annotations already establish this is a safe, idempotent, closed-world read. Beyond that, the description discloses what each record contains — producer, date, weekly change, and as-of time — which is real behavioral context and matters more than usual because there is no output schema. It does not state freshness/polling behavior or whether the tape can ever be empty.

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?

It is a single front-loaded sentence that opens with the usage trigger before listing payload details. The long enumeration of ten series is dense but earns its place, since no output schema exists to carry that information. Slightly run-on, but no filler.

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 and no parameters, the description carries the burden of describing the return payload, and it does: the series list plus per-record fields (producer, date, weekly change, as-of time). It stops short of stating whether all series are always returned together or how large the response is, a minor gap given the closed-world annotation.

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, which is the baseline-4 case; there is no argument syntax for the description to clarify. Schema coverage is reported at 100%, and nothing in the description misrepresents the no-argument call.

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 a concrete resource — the macro tape — and enumerates the exact series it returns (Treasury yields, real yield, S&P 500, VIX, Brent, gas, copper, Fed funds target, CPI, payrolls), so an agent knows precisely what payload to expect. It does not reference any sibling tool (deepstack_docket, deepstack_results, etc.), so the differentiation is left to the content rather than stated.

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?

"Use when the user asks for the macro figures DeepStack tests its notes against" gives a clear trigger condition, which is more than most tools offer. However, it names no alternative and gives no when-not guidance, so routing against siblings like deepstack_results or deepstack_search 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.