mark_engagement_sent

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

No annotations are provided, so the description must carry the full burden. It fails to mention side effects such as whether the operation is reversible, overwrites previous state, or requires certain permissions. The manual LinkedIn context is useful but insufficient for full behavioral transparency.

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 a single, front-loaded sentence that conveys the core action without any fluff. It is succinct and well-structured, making it easy to scan.

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?

Given the tool's simplicity but lack of annotations and output schema, the description is too sparse. It omits parameter semantics, side effects, and prerequisites, leaving gaps that an agent would need to infer. For a 2-parameter tool, more context is expected.

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% and the description does not explain the parameters. While 'CommentEngagement' hints that 'id' references an engagement, the 'sent' parameter is entirely unmentioned, and no guidance is given on expected values or behavior. The description adds no value beyond the raw schema.

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 verb 'marks' and the specific resource 'CommentEngagement', indicating a state change to 'DM sent'. It also adds the manner 'manually via LinkedIn', which distinguishes it from sibling tools related to published content, making its purpose unambiguous.

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 implies the use case for manually sent DMs via LinkedIn, giving some context. However, it does not explicitly state when not to use it or mention any alternative tools, so the guidance is implied rather than explicit.

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