Skip to main content
Glama

Update employee

hr_update_employee

Update an employee record. Only the fields you pass are changed. Two fields carry more than they look: is_admin grants or removes workspace administrator rights, which controls deletion and the recycle bin, and weekly_capacity_percentage feeds every resource and utilisation calculation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNoA role key or name from THIS workspace - list them with hr_get_roles. Case-insensitive. super_admin cannot be granted through MCP.
emailNo
is_adminNo
positionNo
full_nameNo
last_nameNo
departmentNo
first_nameNo
employee_idYes
employment_typeNoPermanent | Permanent - Flextime | Hourly Paid (case-insensitive).
weekly_capacity_percentageNo

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate this is a non-read, non-destructive mutation, so the bar is lower. The description adds meaningful behavioral context beyond the annotations: is_admin has consequences for deletion and recycle bin access, and weekly_capacity_percentage affects all resource and utilization calculations. It also clarifies partial-update semantics. No contradiction with annotations.

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?

Two sentences with no fluff. The action and partial-update rule come first, followed by targeted warnings about the two high-impact fields. Every sentence earns its place.

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 the 11-parameter, no-output-schema update context, the description covers the partial-update contract and the two behaviorally significant fields. Remaining gaps, such as return value or permission requirements, are minor and not essential for a competent agent to invoke the tool correctly.

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

Parameters4/5

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

Schema description coverage is only 18%, so the description must compensate. It does so for the two least obvious parameters: is_admin and weekly_capacity_percentage. The remaining parameters are mostly self-explanatory by name or already documented in the schema, such as role and employment_type. Critical hidden semantics are covered.

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 a specific action and resource: 'Update an employee record.' It also adds the partial-update rule, which narrows the tool's behavior. It does not explicitly contrast with hr_create_employee or hr_get_employees, but the resource and action are unambiguous among siblings.

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 when to use the tool: to change an existing employee record. The partial-update statement ('Only the fields you pass are changed') is useful guidance. However, it does not name alternatives or state conditions where another tool should be preferred, leaving sibling differentiation to inference.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

B3.4/5.0
Disambiguation4/5

Most tools follow a clear resource+action pattern and the descriptions are unusually precise about boundaries. A few near-overlaps remain: projects_get_finance vs projects_get_financials, and notes_create vs crm_log_activity on a deal are both plausible for recording a note on a deal.

Naming Consistency4/5

The domain_prefix_action convention is consistent across nearly all tools, e.g. crm_create_lead, projects_update_risk, timelog_approve_time. Deviations include standalone list_trash, meta tools like whoami/tool_search/tool_invoke, and the confusing projects_get_finance/projects_get_financials pair.

Tool Count1/5

With 105 tools, this far exceeds the 50+ threshold defined as an extreme mismatch. Even for a full ERP/CRM suite, the fine-grained split—39 project tools alone—creates a massive tool-selection surface that is hard for an agent to navigate reliably.

Completeness4/5

The surface covers CRM, projects, tasks, time/expenses, HR, notes, notifications, contracts, and reporting with create/read/update/delete for most primary entities. Minor gaps exist: crm_log_activity has no read-back path, contracts lack delete/restore, and proposals are intentionally read-only, but agents can work around these.