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

No annotations are provided, so the description carries the full burden. It only states the purpose and does not disclose behavioral traits such as read-only nature, authentication requirements, rate limits, or error handling. The 'get' prefix implies safety, but the description adds no depth.

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, well-constructed sentence of 16 words. It is front-loaded with the action ('Get a summary') and efficiently conveys the essential information with no fluff.

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 tool has 3 parameters, 100% schema coverage, and no output schema, the description covers the purpose adequately. However, it does not describe what the summary contains (e.g., total hours, daily breakdown) or return format, which would be helpful for an AI agent to understand the output.

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 100%, so the schema already documents all parameters. The description adds the context that scope can be 'user' or 'team', which matches the schema. It does not add significant new meaning beyond what the schema provides, hence baseline 3.

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 states the verb 'Get', the resource 'summary of hours logged', and the scope 'for a user or team over a date range'. It distinctly differentiates from sibling tools like 'get_my_time_entries' or 'list_my_time_entries' which return individual entries rather than an aggregated summary.

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 when an aggregated summary of hours is needed, but it does not explicitly state when to use this tool over alternatives (e.g., for individual time entries use 'get_my_time_entries'). There is no guidance on when not to use it or prerequisites.

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