create_hours

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Create a new hours entry' implies a write operation but lacks critical details: required permissions, whether it's idempotent, what happens on duplicate entries, error conditions, or response format. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence with zero wasted words. It's front-loaded with the core action ('create') and resource ('hours entry'), making it immediately scannable. Every word earns its place, though this conciseness comes at the cost of detail.

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 complexity (5 parameters, mutation operation), lack of annotations, 0% schema coverage, and no output schema, the description is incomplete. It doesn't address behavioral traits, parameter meanings, usage context, or return values. For a tool that creates data with multiple inputs, this minimal description leaves the agent under-informed.

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 0%, meaning all 5 parameters are undocumented in the schema. The description adds no parameter information beyond what's implied by the name ('hours entry'). It doesn't explain what 'employee_id', 'hours', 'note', 'project_id', or 'start_date' represent, their formats, or constraints, failing to compensate for the schema gap.

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 ('create') and resource ('hours entry'), making the purpose immediately understandable. It distinguishes from sibling tools like 'update_hours' or 'delete_hours' by specifying creation. However, it doesn't explicitly differentiate from other 'create_' tools (e.g., create_absence, create_project), which share the same verb but target different resources.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., existing employee/project), exclusions, or comparisons to siblings like 'update_hours' or 'get_hours'. The agent must infer usage from the name alone, which is insufficient for informed tool selection.

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