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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds nothing beyond the bracketed "[inference]" tag — no mention of model-based extraction behavior, determinism of results, or typical keyword count, so the marginal value is minimal.

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?

The text is short but that reflects under-specification rather than conciseness — it is a two-word fragment with no front-loaded statement of action, inputs, or output. Brevity here costs information instead of saving it.

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 two-parameter tool with zero schema description coverage and no output schema, the description must carry the full burden and does not. An agent cannot tell what it receives back (list of strings? scored keywords?) or how max_keywords changes the result.

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 0% for both parameters. The description does nothing to explain the required `text` input or what `max_keywords` controls (default, upper bound, output behavior) beyond the property name itself, leaving the agent with no semantic grounding.

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 fragment "Keyword extraction" merely restates the tool name/title (text_keywords / Text Keywords) as a noun phrase rather than stating a verb and resource. It never says what text is processed, what counts as a keyword, or how it differs from adjacent text tools such as text_summarize or text_sentiment.

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 indication of when to use this tool, when not to, or which sibling to prefer for related text-processing needs. The agent is left to guess entirely.

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