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ArmandSwirc

TimeChimp MCP Server

by ArmandSwirc

update_user

Modify user details in TimeChimp, including name, language, role, tags, and contract information to keep employee records current.

Instructions

Update an existing user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesUser ID
displayNameYesThe user name
languageNoThe user language (default: en)
employeeNumberNoThe user employee number
badgeNumberNoThe user badge number
citizenServiceNumberNoThe user citizen service number
roleNoRole to be assigned to the user (default: User)
tagsNoList of tags to be linked with the user
contractsNoList of user contracts to be linked
Behavior2/5

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. 'Update an existing user' implies a mutation operation, but the description doesn't disclose any behavioral traits: it doesn't mention permissions required, whether changes are reversible, rate limits, side effects, or what the response looks like. For a mutation tool with zero annotation coverage, this is a significant gap.

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, efficient sentence with zero waste. It's appropriately sized and front-loaded, though this conciseness comes at the cost of completeness. Every word earns its place by stating the core action, but no more.

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?

Given the complexity (9 parameters with nested objects), lack of annotations, and no output schema, the description is incomplete. It doesn't help the agent understand the tool's behavior, usage context, or what to expect after invocation. For a mutation tool with rich input schema but no other structured data, the description should do more to compensate.

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 description coverage is 100%, so the schema already documents all 9 parameters thoroughly with descriptions, enums, and formats. The description adds no parameter semantics beyond what the schema provides—it doesn't explain relationships between parameters, provide examples, or clarify usage. The baseline of 3 is appropriate when the schema does all the work.

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

Purpose2/5

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

The description 'Update an existing user' is a tautology that restates the tool name 'update_user' with minimal elaboration. It specifies the verb ('Update') and resource ('user'), but doesn't distinguish this tool from sibling update tools like 'update_contact' or 'update_customer' beyond the resource name. No additional context about what aspects of a user can be updated is provided.

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 doesn't mention prerequisites (e.g., needing a user ID), when not to use it (e.g., for creating new users), or how it differs from sibling tools like 'create_user' or 'get_user_by_id'. The agent must infer usage solely from the tool name and schema.

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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