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

Goes beyond the annotations (destructiveHint=true, idempotentHint=false) by disclosing that existing-object changes are gated behind approval or a reversible-change auto policy, and that new campaigns/ad sets/ads are created paused with no spend. This materially clarifies the safety/reversibility profile. It does not, however, state what a rejection or partial-approval does.

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?

Front-loads the operation list, then the approval workflow, then creation semantics, then the parameter-lookup pointer. The operation enumeration is long but load-bearing; the sentences are tight and none is redundant.

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 dispatcher with no output schema and an opaque params object, the description covers the operation set, the approval/reversibility model, creation semantics, and where to find parameters. It stops short of connecting to get_change_status for tracking submitted proposals.

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% and the nested 'params' object is entirely opaque, so the schema contributes nothing. The description partially compensates by pointing to get_tool_schema for operation parameters, which is a reasonable mitigation for a dispatch tool, but it never describes the shape of 'params' itself.

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?

States a specific resource (LinkedIn Ads) and enumerates the ten change operations it dispatches, so an agent knows exactly what verbs are available. It is clearly distinguishable from the read-side linkedin_ads sibling by the 'change operations' framing, though it doesn't explicitly contrast itself with propose_change/approve_change.

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?

Explains the governing workflow: changes to existing objects are proposals applied only after human approval or when the client's auto policy permits a reversible change, and it directs the agent to get_tool_schema for per-operation parameters. It gives clear context for use but does not name alternative tools (e.g., approve_change, get_change_status) or state exclusions.

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