Analyze X posting times

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It adds valuable safety context ('read-only, no DB') and source information (recent timeline), but omits output format, error conditions, and edge cases such as insufficient data. This is a modest but not comprehensive disclosure.

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 remarkably concise, consisting of two sentences that front-load the core purpose followed by contextual safety/source details. Every clause contributes essential information, with minimal wasted words.

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 moderate-complexity analysis tool with no output schema, the description covers the primary purpose and safety profile but leaves gaps around return values, minimum-data requirements, and how 'best-hours' is determined. The parameter schema fills parameter details, so the description's brevity is partly justified but not fully complete.

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%, so the schema fully documents all four parameters. The description adds no additional parameter-level meaning beyond what the schema already provides, earning the baseline score of 3.

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 a specific action ('Analyze') targeting a defined resource ('when you post vs average lifetime impressions by hour of day'). It distinguishes this tool from sibling analytics or post-management tools by focusing on posting-time analysis, 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 provides contextual usage cues ('Derived from your recent timeline') but does not explicitly state when to prefer this tool over alternatives or mention exclusions. Usage is implied rather than directly guided, with no comparison to sibling tools like get_x_post_metrics.

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