interact_with_post

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

With no annotations, the description bears the full burden of disclosing side effects and requirements. It mentions the actions (read, like, comment) but does not disclose potential consequences such as the permanence of likes/comments, authentication requirements, or rate limits. This is a significant gap for a tool that modifies external state.

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 concise, front-loaded with the main purpose, and structured as a clean Args list. Each sentence contributes meaning with no fluff or redundancy. It effectively conveys the necessary information in a compact format.

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 simple tool with an output schema, the description covers the essential aspects: what the tool does, the parameters, and their roles. It does not explain return values (covered by output schema) or prerequisites, but given the context signals (simple params, output schema present), it is mostly complete. Minor gap: it doesn't explicitly state that 'comment' is required when action='comment', though this is logically inferable.

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?

The input schema has 0% description coverage, leaving parameters as bare types and defaults. The description adds context for all three parameters: post_url is the URL of the LinkedIn post, action is the strategy ('read', 'like', or 'comment') with default 'read', and comment is the text for the 'comment' action. This fully compensates for the lack of schema descriptions.

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's purpose: 'Interact with a specific LinkedIn post (read, like, comment).' The verb 'interact' is specified with concrete actions, and the resource 'LinkedIn post' is explicit. This distinguishes it from siblings like create_linkedin_post, which focuses on creation, and other unrelated tools.

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 usage by listing the actions ('read', 'like', 'comment') and the post_url parameter, making it clear the tool is for engaging with an existing post. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention scenarios where it should not be used. The guidance is implicit rather than explicit.

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