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

Annotations already declare readOnlyHint, idempotentHint and a closed-world scope, so the safety profile is covered. The description contributes one useful behavioral fact — that each row includes a widget count — but says nothing about pagination behavior, ordering, or the shape of the listing.

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?

A single compact sentence with the scope and the payload hint front-loaded, and no filler. It is slightly under-specified rather than verbose, which is the lesser sin but keeps it off a 5.

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 simple read-only list tool with a fully documented schema, this is nearly adequate, but there is no output schema and the description gives only a partial picture of the response (widget counts) while omitting ordering and pagination semantics. It also leaves the get_dashboard relationship 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 description coverage is 100%, so page, limit, search and project are fully documented in the schema itself, including the project-ID conditional. The description adds no parameter meaning 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 noun phrase identifies the resource (saved dashboards) scoped to a project and even previews the returned payload (widget counts). It lacks an explicit verb and never contrasts itself with the sibling get_dashboard, which retrieves a single dashboard, so it is clear but not sibling-differentiating.

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 statement of when to call this versus get_dashboard or the other list_* siblings, and no mention of prerequisites such as needing a project ID when the connection spans multiple projects (that detail lives only in the schema). Usage must be inferred entirely from the name.

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