enable_user

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

No annotations are provided, so the description carries the full burden for behavioral disclosure. The only behavioral hint is the word 'mutation', which implies a write operation, but it does not disclose side effects, required permissions, reversibility, or response behavior. The truncated example variables add no behavioral insight.

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?

The description is a single long, auto-generated line that redundantly lists all variables already present in the schema, followed by a truncated JSON example. It is not concise or well-organized; it appears to be raw introspection output rather than a curated explanation, making it hard to parse.

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?

For a 14-parameter mutation with no annotations, no output schema, and complex nested filter objects, the description is severely inadequate. It does not explain the purpose of the parameters, what the operation does, when to use it, or what the returned data looks like. The variable list and partial example leave the agent with almost no practical context.

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?

The schema descriptions are only GraphQL type labels (e.g., 'ID!', 'AccessGroupFilter'), which are not semantically meaningful. However, the description's example variables do show the internal structure of nested objects like filter and order, including fields such as customers, ids, name, pods, roles, and users. This adds some practical context beyond the schema, but the example is truncated and many parameters remain opaque.

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 is 'User · mutation enableUser', which merely restates the tool name and labels it as a mutation. It does not use a specific verb to explain what the tool actually does (e.g., 'Enable a user account'). No resource or action is described beyond the name itself, making it a tautology.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention sibling tools like disable_user or update_user, nor does it provide prerequisites, intended scenarios, or exclusions. The description is entirely a variable listing and example, leaving the agent without direction for tool selection.

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