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

The description goes beyond the annotations by explicitly calling this a WRITE-THROUGH, noting that it creates the creative on LinkedIn, and revealing that feature flag and budget guardrails are enforced server-side. This gives an agent useful expectations about side effects and possible failures.

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?

Each sentence earns its place: the action, the critical side effect, the workflow requirement, server-side guardrails, and the parameter lookup pointer. It is front-loaded with the most important information and avoids fluff.

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 write operation with no output schema, the description covers the key return value (externalId), the prerequisite state (pending creative), and server-side constraints. It does not fully describe error cases or the complete response shape, but it is sufficient for selection and initial 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?

The description adds practical guidance for adCreativeId by directing the agent to list_ad_creatives. The platform and workspaceId parameters are already well described in the schema, so the 67% schema coverage is partially compensated. Still, the description does not add much semantic depth 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 clearly states a specific verb ('Approve') and resource ('pending ad creative'), and goes further to explain that this is the publish step that creates the creative on LinkedIn and returns its externalId. This distinguishes it from related tools like approve_content_post and create_ad_creative by clarifying the actual side effect.

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 clear workflow context: generated/created creatives require this approval before anything is published, and it explicitly points to campaignstack_list_ad_creatives for finding the adCreativeId. It does not explicitly mention when not to use it versus reject_ad_creative, but the usage window is well defined.

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