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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description adds the meaningful context that this is a host-facing UI affordance rather than an agent data source, but says nothing about return shape, ordering, or result limits.

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 short clauses with no filler, and the audience/alternative constraint is stated up front. The phrasing is slightly oblique ('The host's own: the person's projects'), which costs it a point.

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 one-parameter read-only lookup with full schema coverage and annotations, the description is adequate, but with no output schema it never states what is actually returned (project names, ids, count) or whether results are paginated.

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 100% and the single query parameter is fully documented in the schema, including the 'Empty = every project' default. The description adds no syntax, matching, or case-sensitivity detail beyond that, so the baseline 3 applies.

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 identifies the resource (the host's projects) and its intended consumer, and explicitly distinguishes itself from GetMachine. However, it supplies no verb describing the operation itself (list/search/return), so the agent must infer that calling it yields a project collection for mention autocomplete.

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?

It gives an explicit when-not ('Not for an agent') and names the alternative source of the same data (GetMachine), which is exactly the routing signal an agent needs. It falls short of 5 only because it doesn't spell out the positive case for an agent calling it or any prerequisites.

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