threads_get_post_insights

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

With no annotations, the description carries the burden of behavioral disclosure. It explicitly states the return format (JSON string) and the specific metrics included (views, likes, replies, reposts, quotes, shares). It does not mention error handling or rate limits, but it clearly communicates the primary behavior and output.

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 and well-structured with Args and Returns sections. Every sentence adds necessary information without redundancy, and the main purpose is front-loaded in the first sentence.

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 one-parameter tool, the description adequately covers purpose, parameter meaning, and return value shape. It omits error cases or authentication requirements, but given the simplicity and output schema presence, it is reasonably complete. The sibling tool context further clarifies its scope.

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 schema provides no description for post_id (0% coverage), so the description's clarification that it is 'the ID of the post to get insights for' adds meaningful value. While brief, it fully defines the only parameter, so the agent can correctly supply it.

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 'Fetch engagement metrics for a specific Threads post,' using a specific verb and resource. It distinguishes itself from sibling tools like threads_get_account_insights (account-level metrics) and threads_get_post_details (post content details) by focusing on engagement metrics for a single post.

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 makes it clear this is for a specific post's engagement metrics, which implies when to use it. However, it does not explicitly name alternatives or provide exclusion criteria, but the context is sufficient for an agent to infer appropriate usage.

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