Tripletex MCP Server

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. It states the tool retrieves data ('Get'), implying a read-only operation, but doesn't clarify if it requires authentication, has rate limits, or what happens if no data is found (e.g., returns zero or an error). For a tool with no annotations, 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 that front-loads the core functionality: 'Get total hours registered for an employee in a date range.' There is no wasted text, and it directly communicates the tool's purpose without unnecessary elaboration.

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 read-only tool with no output schema and no annotations, the description is minimally adequate. It covers the basic purpose and parameters, but lacks details on behavioral traits (e.g., error handling) and usage guidelines. Given the tool's simplicity and high schema coverage, it's complete enough for basic use but could be improved with more context.

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 100% description coverage, with clear defaults for all parameters (e.g., 'defaults to token owner' for employeeId). The description adds minimal value beyond the schema, as it only mentions 'employee in a date range' without detailing parameter roles or constraints. Given the high schema coverage, a baseline score of 3 is appropriate.

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 tool's purpose: 'Get total hours registered for an employee in a date range.' It specifies the verb ('Get'), resource ('total hours'), and scope ('employee in a date range'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'get_timesheet_entry' or 'get_timesheet_month', which might also retrieve hour-related data.

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, such as whether the employee must exist or have timesheet data, or compare it to siblings like 'search_timesheet_entries' for more detailed queries. This lack of context leaves the agent to infer usage based on the name alone.

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