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

With no annotations provided, the description must fully disclose behavioral traits. It states the analysis scope but does not mention whether it is read-only, what data it accesses, or what the output format is. This lack of detail is insufficient for an agent to anticipate side effects or return values.

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 highly concise, consisting of a single phrase that conveys the core purpose. While efficient, it borders on under-specification, lacking a full sentence or additional context, but it does not waste words.

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?

Given the absence of annotations and an output schema, the description should provide more context about what the tool returns and how to interpret results. It only offers a high-level label with no details on scope, data sources, or output structure, leaving the agent underinformed.

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 has zero parameters, as indicated by the empty schema. With no parameters to describe, the baseline is 4, and the description does not need to provide parameter semantics. It correctly contains no parameter-related information.

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 clearly identifies the tool's function: analyzing patch lag against scheduled deadlines. It distinguishes itself from sibling tools like change_stats or health_check by focusing specifically on patch compliance and overdue patches.

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 usage for patch compliance analysis but does not explicitly state when to use it versus alternatives. No exclusions or alternative tool references are provided, leaving room for the agent to infer the appropriate context.

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