get_engagement_trends

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

With no annotations, the description carries the full burden of behavioral disclosure. It fails to state whether the operation is read-only, what data scope it covers (current user, historical, all posts?), or what the response structure looks like. The phrase 'analyze' implies processing but does not reveal edge cases or assumptions.

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 a single concise sentence with no filler. It is front-loaded and easily parsed, but it is also underspecified semantically. Still, from a structural standpoint, it is efficient and meets the conciseness bar.

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 no output schema, no annotations, and multiple competing analytics tools, the description is insufficient. It does not explain what the returned trend data looks like, how metrics are aggregated across timeframes, or how this tool complements or differs from similar insight tools. This is a significant completeness gap.

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 coverage is 100% with each parameter described (metrics, timeframe, granularity). The tool description adds no extra meaning beyond the schema, so the baseline of 3 is appropriate. The description does not clarify parameter interactions or formats beyond what the schema already provides.

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 'Analyze engagement patterns and trends over time' conveys a general objective but lacks specificity about what is returned or how it differs from sibling analytics tools like get_content_performance_report or get_enhanced_insights. It is not a tautology, but it is vague enough that an agent could confuse it with other insight 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?

No guidance is provided on when to use this tool versus alternatives. The description does not mention appropriate contexts, exclusions, or which sibling tools cover related cases. Given the large number of analytics siblings, this is a clear gap.

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