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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds meaningful semantic context beyond that: these artifacts must not be treated as researcher-approved canonical decisions, which shapes how downstream results should be used. It omits ordering, volume, or pagination behavior for a list operation.

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?

Two sentences with no filler, and the core action plus scope is front-loaded before the usage guidance. Every clause adds either scope or interpretation guidance.

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?

With no output schema, the description would ideally hint at what a listed artifact contains (identifiers, types, timestamps) so an agent knows it can feed an ID into read_work_artifact. The caveat about non-canonical status is valuable, but the shape of the result set is unaddressed.

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 0%, so the description has to carry the parameter burden. It contributes the notion of 'one authenticated project' and single-project scoping, but projectId's UUID format and the fact that it is the sole required parameter are left entirely to the schema.

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 ('List saved working artifacts') scoped to one project, which cleanly separates it from the singular read_work_artifact and the mutating save_work_artifact siblings. The added clause about treating artifacts as non-canonical gives the resource a precise identity an agent can act on.

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?

'Use this to continue prior host-AI plans, interpretations, critiques, or drafts' gives a clear when-to-use trigger tied to resuming prior work. It stops short of naming explicit alternatives (e.g., read_work_artifact for a single artifact) or stating when not to call it.

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