Base Wework Get User Overview

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

There are no annotations, so the description carries the burden. It implies a read-only aggregation and enumerates the data categories returned, but it does not clarify authentication expectations, side-effect absence explicitly, or operational traits such as rate limits or data freshness.

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

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

A single, front-loaded sentence that states the verb ('get comprehensive information about a user/dev'), the scope, and an explicit list of returned data categories. The parenthetical list is long but dense, not padding.

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

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

The description covers what data the tool returns, and an output schema exists, so return-shape documentation is not required. However, it lacks parameter format and usage boundaries, leaving the agent with inferential gaps for actually constructing the call.

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

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

Schema coverage is 0%, so the description must explain parameters. It does not clarify whether 'user' is an ID, username, or email, nor the optional token purpose. The param names are self-descriptive but remain ambiguous for invocation.

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

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

The description clearly identifies the tool as an aggregator: it fetches a comprehensive user overview in Base Wework (projects, departments, avatar, workload stats, recent tasks/activities). This distinguishes it from single-purpose siblings like base_wework_get_task, though it never names an alternative.

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

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

No guidance on when to choose this tool over siblings such as base_wework_get_task, base_account_get_all_users, or base_wework_list_user_tasks. The implied use case is discoverable from the name, but the description does not state selection criteria or context.

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