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

Annotations already declare readOnly, idempotent, non-destructive and closed-world behavior, so the safety profile is covered. The description adds genuine value beyond them by disclosing what the response contains — per-brief audience, headline finding, price, page and payment link — and that bundles and the custom brief are included in the listing. It stops short of describing pagination or ordering.

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?

One front-loaded sentence plus a short trailing clause about bundles and the custom brief; every element carries information and nothing is padded. Slightly dense colon-list phrasing, but no wasted text.

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 takes on the job of explaining return contents, and it does so at the field level, which is the key information an agent needs to decide to call this for discovery or pricing. The missing piece is any hint about the optional category filter or result ordering, but the schema covers the former.

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% and the single optional 'category' parameter is documented in the schema with examples, so the description has little to add. It does not mention the category filter at all, meaning it neither reinforces nor extends the schema — baseline 3 is appropriate.

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 specific verb ('List') and resource ('CULT+MATH Decision Briefs') and even enumerates the attributes of each brief (audience, headline finding, price, page, payment link) plus bundles and the custom brief. It does not, however, distinguish this listing tool from siblings like get_decision_brief or list_decisions, so an agent must infer the boundary.

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?

Usage is only implied: 'List' suggests a browse/discovery use case versus a single-item fetch, but there is no explicit statement of when to call this instead of get_decision_brief or list_decisions, and no exclusions or prerequisites are given. Adequate but leaves the routing decision to inference.

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