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

With no annotations, the description carries the full burden. It discloses that the tool performs a ranking analysis based on historical recurrence evidndence, which indicates a read-only analytical behavior. However, it does not specify the output format, whether scores are provided, or any other side effects, leaving some behavioral ambiguity.

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 a single, front-loaded sentence with no filler. Every word contributes to defining the tool's purpose and data source, making it easy for an agent to parse quickly.

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 analytical tool with no output schema, the description is largely complete: it names the action, the domain, and the evidence basis. The only gap is the lack of an explicit statement about return shape, but 'Rank candidates' reasonably implies a prioritized list.

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 input schema has zero parameters and the schema coverage is 100%, so the baseline of 4 applies. The description adds no parameter-specific detail because none is needed; the only relevant context is that the tool operates without user-supplied inputs.

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 uses a specific verb ('Rank'), a concrete resource ('Australian Government procurement re-tender candidates'), and an explicit data source ('historical recurrence evidence'). It is clearly distinct from all sibling tools, which target different domains like income discovery, hiring demand, and horse racing.

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 the use case: prioritize procurement re-tender opportunities in Australia. However, it provides no explicit guidance on when to choose this tool over a sibling, nor any exclusions or conditions under which another tool would be more appropriate.

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