fill_article_title

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

No annotations are provided, so the description carries the full behavioral burden for a mutation. It does not say whether an existing title is replaced or appended, whether the call fails if no editor is open, what permissions are required, or what the response reports — all material for a write operation.

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?

One sentence, front-loaded with the action verb and the target resource, with no filler. Nothing is wasted, though there is also very little content to structure.

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 tool with full schema coverage, no output schema, and simple mutation semantics, the description is minimally viable. It omits the precondition that the article editor must already be open and the replacement behavior on an existing title, which are the main gaps an agent would hit.

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 parameter's schema description is 'Article title', so the schema already documents it. The description adds no format, length, or validation guidance beyond that, making the baseline 3 appropriate.

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?

States a specific verb+resource ('Fill article title') and scopes it to the 'current Twitter/X article editor', which distinguishes it from the scrape/navigate siblings. It stops short of differentiating itself from the closest sibling, fill_article_body, which an agent must still infer by name.

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 phrase 'current ... article editor' weakly implies the tool must be used while the editor is already open, so usage is only implied. There is no explicit when/when-not, no mention of open_article_editor as a prerequisite, and no routing to fill_article_body for body content.

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