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

Annotations already cover safety (readOnly=false, idempotent=true, destructive=false), and the description adds real consequences beyond them: maintenance is a 2-hour window incurring usually under 2 minutes of downtime, disk auto-grows at 80% full up to the cap with per-GB billing beyond, and the required scope databases.write. It still omits whether attributes not passed are left untouched, whether changes are applied together, and what the call returns, so it stops short of full disclosure.

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?

Nothing is wasted in content, but the structure is poor: an opening fragment 'Any of:' followed by semicolon-separated clauses with deep parenthetical nesting makes the key facts hard to scan. It reads like a spec excerpt rather than a front-loaded statement of what the tool does and which fields it changes.

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 6-parameter mutation tool with no output schema, the description covers the semantics and side effects an agent needs to invoke it safely. Gaps remain around partial-update behavior (are omitted fields preserved?), the effect of setting disk_cap below current usage, and what state is returned or must be re-fetched via get_database.

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 only 33%, but the description compensates well for the undocumented parameters: it defines the maintenance window semantics (day 0 = Sunday, start hour, Montréal time, 2-hour length, expected downtime), the meaning of the disk cap and its billing/growth behavior, and the engine restriction on eviction_policy. It does not map field names one-to-one, and the 1-1000 GB bound and the name length limit are left to the schema, but the semantic gaps are largely filled.

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 enumerates exactly which attributes are mutable (name, maintenance window, disk cap, Valkey eviction policy), which is more specific than the name alone and lets an agent match a requested change to this tool. It never states a verb or explicitly distinguishes itself from siblings like resize_database or set_database_public_access, so the boundary with neighboring mutators is left implicit.

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 when-to-use / when-not-to-use guidance and no alternative named. The only conditional hint is 'on Valkey, the eviction policy', which tells the agent a parameter is engine-gated but says nothing about tool selection versus resize_database (also disk/size-related) or rename-style siblings.

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