Dict Vacancy Conditions

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

No annotations are supplied, so the description carries the full burden. It implies a static read-only reference lookup, but never says so outright, nor does it mention caching, rate limits, or whether results are localized to the authenticated account.

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 with the verb first and the clarifying examples in a parenthetical. No filler or repetition, though it is thin enough that a short clause about the returned shape would still have earned its place.

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?

For a zero-parameter dictionary tool this covers the essentials of what it returns conceptually, but with no output schema and no annotations, it leaves the shape of results (list of condition identifiers and labels?) unspecified. Adequate but with a clear 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?

The tool takes zero parameters, so there is no parameter semantics to document; the baseline of 4 applies. The description correctly adds no misleading arg-like language.

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?

States a specific verb and resource ("Get the dictionary of paid vacancy placement conditions") and the parenthetical examples (branded templates, priority placement) make the domain concrete, distinguishing it from the many other dict_* lookups. It does not explicitly name a sibling, so it stops 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?

Usage is only implied: an agent can infer this is a reference-data lookup to call before choosing a paid placement option. There is no explicit statement of when to use it versus dict_dictionaries or the suggest_* tools, and no prerequisites noted.

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