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HR-Partner

HR Partner MCP Server

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by HR-Partner

List Employee Assets

list_assets

Retrieve company assets allocated to employees, including serial numbers, allocation and return dates, and attachments. Filter by employee, asset type, department, or date ranges.

Instructions

Get company assets allocated to employees (e.g. phones, laptops), including identifiers, serial numbers, allocation/return dates and attachments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
employeeNoEmployee code to only return records for that particular employee
asset_typeNoSelect only assets which have this type
departmentNoOne or more department names (separated by commas) to filter by
in_date_toNoOnly assets returned to the company on/before this date (format yyyy-mm-dd)
descriptionNoReturn only assets with this partial text within the description field
max_recordsNoOptional client-side limit on the number of records returned. Use to keep responses small when exploring data; the API itself does not paginate.
out_date_toNoOnly assets allocated to the employee on/before this date (format yyyy-mm-dd)
in_date_fromNoOnly assets returned to the company on/after this date (format yyyy-mm-dd)
out_date_fromNoOnly assets allocated to the employee on/after this date (format yyyy-mm-dd)
serial_numberNoReturn only assets which have this text within the serial number field
asset_identifierNoReturn only assets which have this text within the identifier field
Behavior3/5

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

No annotations are provided, so the description carries the burden. It states what is returned (identifiers, serial numbers, allocation/return dates, attachments), which is helpful, but it does not disclose pagination, rate limits, permission requirements, or the fact that the API does not paginate (though the max_records parameter description mentions it). It is a benign read operation, but the description adds limited behavioral context beyond the verb 'Get'.

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

Conciseness5/5

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

The description is a single, well-structured sentence that front-loads the action and resource. Every phrase adds value: 'company assets allocated to employees', examples, and the list of returned data. No wasted words.

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

Completeness4/5

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

Given 11 filter parameters and no output schema, the description is reasonably complete for a simple list tool. It names key return fields and the core resource. It does not describe typical use cases or caveats (e.g., no pagination), but the schema covers filter details adequately. Slightly above minimum but not exhaustive.

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?

The input schema provides descriptions for all 11 parameters (100% coverage), so the baseline is 3. The description does not add any parameter-level explanation beyond what the schema already provides; it only mentions return fields, not filtering semantics.

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

Purpose5/5

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

The description clearly states the tool's function: 'Get company assets allocated to employees' with examples (phones, laptops) and specifies the returned data (identifiers, serial numbers, allocation/return dates, attachments). This distinguishes it from sibling tools focused on other entities like contacts, benefits, or projects.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when employee assets are needed but does not explicitly mention when to use it versus alternatives, nor does it provide any exclusions or comparison with sibling tools. There is no guidance on prerequisites or complementary tools.

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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