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

With no annotations, the description carries the full behavioral burden and does well: it discloses that no profile is stored, the tool never writes a publish-ready article, formal cards need independent discussion, and single-primary events stay in the watchlist. This goes beyond a simple 'create' description.

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 description is dense but well-paced: a one-line purpose, a useful profile example, then output and gating details. A few phrases could be tightened, but every sentence adds meaning and the most important scoping information is front-loaded.

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?

The description covers output composition, profile behavior, no-write guarantees, and card criteria, and an output schema exists for return-value details. However, the parameter semantics gap for since/until/limit and the ambiguous '1–10 vs at most five' maximum leave an agent under-equipped for a tool of this complexity.

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 0%, so the description must compensate. It does explain the profile parameter with an example and its scoping role, but limit, since, and until are never explicitly described; the 'default window' and 'at most five cards' hints are indirect and ambiguous against the earlier '1–10 cards' claim.

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 opens with a specific verb-resource pair: 'Create evidence-gated 14-day event cards for a Chinese AI-tech creator.' It clearly distinguishes the tool's editorial-card purpose, though it does not explicitly name or contrast a sibling tool such as get_tech_brief.

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?

The description implies when the tool is useful—when an evidence-based editorial brief is needed—and gives context about profiles, output, and card criteria. However, it never names alternatives or states when not to use this tool, leaving the choice to inference.

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