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Passgage MCP Server

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passgage_create_user_extra_work

Create a new extra work record for an employee. Use this tool to log additional hours or assignments through the Passgage API.

Instructions

Create a new user_extra_work

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe data for creating the user_extra_work
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'Create a new user_extra_work,' implying mutation but omitting any information about permissions, side effects, validation rules, or return values. This is a significant transparency gap for a create operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no redundant words. It is highly concise but perhaps too sparse to be genuinely helpful; nevertheless, structure and brevity are appropriate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create tool with a free-form 'data' object, no output schema, and no annotations, the description is insufficient. It does not explain what fields are expected, what the response will be, or any business rules. The agent would have to rely on external knowledge to use this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with a single 'data' parameter that has a description. The description adds no additional meaning about the parameter contents or structure. Per the rubric, baseline is 3 when schema coverage is high and description does not compensate for the vague free-form object.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create') and the target resource ('user_extra_work'), which is a specific verb+resource pair. It distinguishes this from sibling tools like list/get/update/delete for the same resource, though it lacks any additional context about what a user_extra_work is.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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 does not mention prerequisites, conditional use cases, or related tools such as update/delete for user_extra_work, so the AI agent receives no direction on tool selection.

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

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