Generate SEO titles from keywords

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

The description adds valuable behavioral context beyond the annotations: it states nothing is saved, no article is created or retitled, requires an API key and consumes credits, and notes the generative nature (repeated calls return different titles), which aligns with idempotentHint=false and openWorldHint=true. No contradictions found.

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 description is well-structured in three clear paragraphs: function, usage distinction, and side effects. Every sentence earns its place, and it is appropriately concise for the information conveyed.

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 tool with two parameters and no output schema, the description provides complete guidance: what it generates, how it differs from a sibling, prerequisites, side effects, and the fact it's generative. It fully covers the agent's needs for correct invocation and expectation setting.

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% for both parameters, so the baseline is 3. The description adds extra nuance by clarifying that passing context does not make the tool equivalent to suggest_titles—titles still optimize for the supplied keywords. This goes beyond the schema's description of context, providing semantic value.

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 clearly states the tool generates 5 search-optimised article titles from a topic/keyword, each with a keyword-strategy hint. It explicitly distinguishes this from suggest_titles by noting it works from topics/keywords rather than existing drafts, making the purpose unambiguous and differentiated from its sibling.

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?

The description provides explicit when-to-use guidance: 'use this one when you have a topic or keywords and the article may not be written yet' and contrasts it with suggest_titles for existing drafts. It also clarifies that passing context does not make it equivalent and notes prerequisites (API key, credits) and the need to call update_article to apply a title.

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