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

Goes well beyond the annotations: it discloses that SLA targets are replaced wholesale (a priority left out loses its SLA), that new targets apply to open tickets immediately, how the clock pauses on 'pending', and the $0.001 per-call cost with no charge on failure. Nothing here contradicts readOnlyHint=false / idempotentHint=true; the wholesale-replacement nuance is exactly the kind of destructive-adjacent behavior an agent needs.

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 purpose and patch semantics, then per-parameter detail, then cost. The JSON example is the longest element but directly disambiguates the nested sla shape, so it earns its space; there is no filler.

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 3-parameter mutation with no output schema, it covers semantics, patch behavior, SLA clock rules, and cost. Minor gaps remain: it doesn't say what is returned, whether closed/resolved tickets are affected retroactively, or any permission requirements, though annotations already cover safety and idempotency.

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 description coverage is 0%, so the description must carry parameter meaning, and it does: sla is explained with priority keys, both minute fields, and a concrete JSON example; auto_close_days is defined including the 0 = never sentinel; ask_rating_on_resolve is explained as a one-click Good/Bad email. Only the numeric bounds (e.g., 43200-minute cap) are left to the schema, which is appropriate.

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 and resource ('Set the help desk's SLA targets, auto-close and satisfaction survey') and immediately clarifies the patch semantics ('what you leave out stays as it is'). An agent can distinguish this from the read-only sibling ticket_get_settings without opening either 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?

The 'leave out = unchanged' rule gives clear context on how to call it incrementally, which is the key usage decision here. It does not, however, name alternatives (e.g., inspect first with ticket_get_settings) or warn about when not to call it, so it stops short of the explicit when/when-not guidance a 5 requires.

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