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

Beyond the annotations, the description discloses the billing behavior (one credit per application ranked) and the permanence of 'skip' ('leaves them without a match for good'), plus an admin-only restriction. This is meaningful operational context the agent could not derive from readOnlyHint=false and destructiveHint=false. There is mild tension between 'for good' and destructiveHint=false, since an irreversible forfeiture of matching could be read as destructive, though no data is deleted.

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?

Three short clauses with no padding, and the precondition (no-credit backlog) is front-loaded before the action descriptions. The telegraphic phrasing ('wait (get_overview counts them)', 'rank ranks them all') is compact but slightly cryptic on first read.

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 single-enum, computationally simple tool, the description covers the resource, both action branches, cost, permanence, and authorization. There is no output schema and the description does not indicate what result comes back (e.g., how many were ranked or credits spent), which is the one remaining 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?

Schema coverage is 0% and the single 'choice' parameter is a bare enum, so the description carries the full burden — and it does, defining the real consequence of each value (rank consumes a credit per application; skip permanently drops them). This is exactly the meaning an agent needs and cannot get from the enum alone.

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 states a specific action on a specific resource: rank or skip the backlog of applications that arrived while the company had no AI credits, with get_overview named as the counter of that queue. It is clearly distinct from ordinary listing tools, but it never names its closest sibling, rank_application, so the agent must infer how the backlog operation differs from ranking a single application.

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?

It gives concrete guidance for the two branches: 'rank' processes the whole queue at a cost of one credit per application, while 'skip' permanently forgoes matching. The condition that creates the queue is explained. What is missing is an explicit rule for when to prefer this over rank_application or why to use skip at all rather than waiting.

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