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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that — no mention of result count behavior, freshness, or how suggestions relate to actual store items. With annotations carrying the safety burden, this is a minimal-value addition.

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 short sentence with no filler, front-loading the resource and operation. It is efficient, though arguably under-specified rather than optimally concise.

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?

An output schema exists, so return values need not be explained, and the four parameters are documented in the schema. What is missing is the relational context: when an agent should call suggest versus the sibling search tool, which matters for a 4-parameter autocomplete endpoint.

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%, with Num, Lang, Country, and Term all documented in the schema itself, so the schema already does the heavy lifting. The description contributes no additional parameter meaning, which matches the baseline 3 when coverage is complete.

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 names the resource (Chrome Web Store) and the operation type (search suggestions), which is clearer than a bare name restatement. However, it largely echoes the tool name 'chromewebstore_suggest' and never distinguishes itself from the sibling chromewebstore_search, which also operates on Chrome Web Store search. An agent gets the gist but no differentiation.

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?

No guidance on when to use autocomplete suggestions versus chromewebstore_search, no mention of the typical flow (suggest then search), and no stated prerequisites or exclusions. The agent must infer the intended usage entirely.

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