get_post_timing_data

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

The annotations already indicate this is a read-only operation. The description adds useful behavioral context by specifying the output grouping (day-of-week and hour) and the timezone dependency. It does not disclose details like how max_posts affects results or whether the data is limited to the authenticated account, but it does not contradict the readOnlyHint.

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?

Two tight sentences, front-loaded with the core behavior and ending with a clear use-case phrasing. Every sentence earns its place and there is no redundant filler.

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 read-only analysis tool with an output schema and all-optional parameters, the description conveys the main purpose and timezone handling. However, it omits practical context such as whether results are scoped to a specific account and how max_posts changes the output, which an agent would need to know for correct invocation.

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%, so the description carries the burden of explaining parameters. It clarifies timezone_name ('in the given timezone') and hints at the content via 'my posts', but it does not explain the account parameter or how max_posts influences the analysis. This partial compensation is insufficient for three undocumented parameters.

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 identifies what the tool does: it returns historical post performance bucketed by day-of-week and hour posted, and directly states the question it answers. It is specific about the resource and aggregation, though it does not explicitly contrast itself with sibling tools like get_account_stats or get_subreddit_activity_pattern.

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 intended use is implied through the question 'when do my posts do best?', which tells an agent when to reach for this tool. However, there is no explicit guidance about when not to use it or which alternatives might be more appropriate for related analyses.

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