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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is fully covered. The description adds value beyond that by specifying what is returned (views, datasets, notes, recent changes) and that the response is a 'compact overview', though it says nothing about response size limits or truncation.

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?

'START HERE.' is front-loaded and immediately signals priority, followed by one dense sentence enumerating the payload and one directive sentence. The middle enumeration is long but each item earns its place by telling the agent what is discoverable, so 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?

There is no output schema, so the description carries the full burden of describing return contents — and it does so item by item, covering every category the agent would need to plan a task. For a zero-parameter, read-only overview tool this is complete.

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 tool takes zero parameters, so the baseline is 4; there is no parameter syntax for the description to clarify. It also does not state that no inputs are required, but with an empty schema that is already unambiguous.

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 ('Returns') and resource (the entire Quillm workspace overview), then enumerates the payload: views with slug/purpose/datasets/URL/owner, datasets with columns/key/row count/freshness, agent notes, and recent changes. This level of content detail lets an agent separate it from siblings like get_view or check_view, which cover a single view, 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?

'Call this at the start of every task so you extend what exists instead of duplicating it' gives an explicit trigger and the rationale behind it, which is stronger than most descriptions. It stops short of naming an alternative or a when-not condition (e.g. how it relates to get_guide or get_view for drill-down), so it is clear context without explicit exclusions.

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