Comment On Post

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

Beyond the destructiveHint annotation, the description explains what 'destructive' means here: the comment is public and permanent, and it will not run without explicit confirmation. It also discloses dry-run behavior, that no draft text is left behind, and the real risk of LinkedIn restrictions from near-duplicate comments. All of this adds meaningful behavioral context beyond the annotations.

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 front-loaded with the core purpose, then each subsequent sentence earns its place: safety model, dry-run workflow, and spam-risk warning. It is longer than a one-liner but every section adds actionable information, with no filler or repetition of schema details.

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 input schema is fully covered, an output schema exists, and the annotations flag destructiveness, the description adds exactly the missing operational context: how confirmation gates publishing, what the dry run does, and the behavioral consequences of misuse. An agent has enough to invoke the tool safely and correctly.

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 schema already documents all three parameters thoroughly, including URL formats and the confirm_comment boolean semantics. The description reinforces these points but does not add substantial new meaning beyond what the parameter descriptions already state, so the baseline of 3 applies.

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 opens with 'Post a first-level comment on a LinkedIn post', which names a specific verb, resource, and scope. It clearly distinguishes this from sibling tools like send_message, connect_with_person, or get_feed, and the qualifier 'first-level' adds precision about the kind of interaction.

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 gives concrete usage guidance: confirm_comment=False performs a dry run to verify the comment box exists before committing, and the tool never runs without confirm_comment=True. It does not explicitly name alternatives or say when not to use this tool, but the practical workflow (dry run first, then confirm) is clearly conveyed.

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