tiktok get spark organic joins

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, and the description's 'Read-only only' merely repeats that. It does add useful context by mentioning permissions and optional organic endpoints, which implies some requests may fail or be skipped. However, it does not disclose failure behavior, pagination, or rate-limit concerns beyond what the schema already states.

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 short and front-loaded with the core join concept, but the phrase 'Read-only only' is redundant and slightly awkward. The first sentence is dense and could be more legible, yet there is no substantial waste.

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?

With an output schema, full parameter schema coverage, and rich annotations, the description provides a serviceable high-level orientation. However, for a tool with 8 parameters and sibling tools like tiktok_get_spark_ads, it lacks enough context about what the joined output contains, when to select it over alternatives, and how the optional endpoints behave when permissions are insufficient.

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 already documents all eight parameters with defaults, bounds, and filters. The description adds no parameter-level detail, so it does not exceed the baseline expected when the schema carries the semantic weight.

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 uses a specific verb ('Join') and names the resource ('Spark Ads fields', 'paid page/post reporting', 'organic identity/post endpoints'). It conveys that this tool merges multiple data sources, which is reasonably distinct from a plain get_tool. It could be clearer about what the returned joined record looks like, but it is not tautological or vague.

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 gives no explicit guidance about when to use this tool versus alternatives. It does not mention tiktok_get_spark_ads, tiktok_get_ads, or tiktok_get_insights, nor does it state exclusion criteria. The only conditional context is 'when permissions allow,' which is about endpoint availability rather than tool selection.

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