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ohneben's Wafeq MCP

wafeq_employees_update

Idempotent

Update an existing employee's information in Wafeq by providing their ID and the fields to modify, such as name, email, address, or hire date.

Instructions

🟡 WRITE · updates data · Employees · PUT /employees/{id}/

Update employee

Endpoint for updating an existing employee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
bodyYesA ModelSerializer that takes additional arguments for "fields", "omit" and "expand" in order to control which fields are displayed, and whether to replace simple values with complex, nested serializations
idempotency_keyNoOptional idempotency key (sent as the X-Wafeq-Idempotency-Key header). A UUID v4 is generated automatically when omitted, so an automatic network retry can never duplicate this operation. Pass your own stable value to make a deliberate re-invocation safe as well.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.0

TDQS

C2.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, and the description's 'WRITE · updates data' merely restates that. It adds only the PUT verb, which hints at full-replacement semantics, but does not disclose what happens to omitted body fields (e.g., whether they are reset to defaults), nor how this differs behaviorally from partial_update. No contradiction with annotations, but no meaningful added context either.

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 compact and front-loaded with the WRITE badge, method, and resource path, so the essential purpose is visible immediately. There is mild redundancy—'Update employee' is restated as 'Endpoint for updating an existing employee'—but overall it is appropriately sized with no filler.

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 mutation tool with a nested required body, no output schema, and a closely related sibling (wafeq_employees_partial_update), the description is too thin. It does not explain PUT full-replace semantics, what happens to unspecified fields, expected response behavior, or when to prefer partial_update. The key differentiator (PUT vs PATCH) is present only as a bare method token, leaving an agent to guess at important invocation consequences.

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

Parameters2/5

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

The description mentions no parameters at all; the agent must rely entirely on the schema. Schema coverage is 67%, and though the nested body fields (city, name, email, etc.) have useful descriptions, the top-level id parameter is undocumented and the body's DRF boilerplate description ('A ModelSerializer that takes additional arguments...') adds no operational meaning. The description does nothing to compensate for these gaps and even fails to note that name is required.

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 states a specific action and resource ('updates data · Employees'), reveals the REST method and path (PUT /employees/{id}/), and is clearly about updating an existing employee. It is self-contained and understandable, though it never explicitly contrasts with the sibling wafeq_employees_partial_update; the differentiation is left to the inferred PUT vs PATCH distinction rather than stated.

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?

There is no guidance on when to use this tool versus wafeq_employees_partial_update (PATCH), wafeq_employees_retrieve, or other employee tools. No prerequisites (e.g., employee must exist), no exclusions, and no mention that this is the full-update counterpart to the partial update sibling. The only usage signal is the bare 'PUT' token in the description, which is implicit rather than actionable guidance.

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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