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

Annotations only supply destructiveHint=true, so the description carries most of the burden and delivers real context: this is a WRITE, no password is set, and required fields vary by role. It does not disclose permission/auth requirements, duplicate-handling behavior, or what the response contains, which are meaningful gaps for a mutation.

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?

Front-loaded with 'WRITE: create a user' and packed into roughly two sentences with no filler; the role-conditional clause and the 'no password' caveat both earn their place. The trailing 'Kayako: POST /api/v1/users.json' is mildly redundant but useful for agents that reason about endpoints.

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 an 8-parameter mutation with nested objects (field_values) and no output schema, the description covers required-field conditionals well but omits what the call returns — notably the new user's id, which the stated use case (requester_id on a new case) directly depends on. That missing return-value guidance leaves a real hole given no output schema exists.

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 already 75%, so the baseline is 3, but the description adds cross-field conditional logic (email/team_ids required for collaborator/agent/admin) and the provenance of role_id via kayako_list_roles. The role-conditional requirement partially duplicates the schema text, keeping it just below a 5.

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?

States a specific verb+resource ('create a user') and immediately scopes the typical case ('typically a CUSTOMER to use as requester_id on a new case'), which distinguishes it from kayako_get_user, kayako_list_users, and kayako_create_case. An agent can select this tool without opening any schema.

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?

Explicitly routes the agent to kayako_list_roles for role_id and states the conditional requirement (collaborator/agent/admin roles require email and team_ids). It lacks a 'when not to use' clause — e.g. checking for an existing user first to avoid duplicates — so it gives clear context but no exclusions.

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