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

The annotations already signal a non-read-only, non-idempotent, non-destructive operation, so the description adds value by disclosing automatic deduplication by normalized LinkedIn URL and workspace scoping. It also clarifies that the watch is created to monitor, implying ongoing observation. It could specify what happens when a duplicate URL is supplied, but there is no contradiction with the annotations.

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?

Three sentences with no filler: the purpose is front-loaded, the deduplication behavior is stated second, and the discovery pointer to list_competitor_watches closes it. Every sentence carries operational value.

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?

Despite lacking an output schema, the description covers the essential semantics: what is created, the monitoring target, workspace scoping, deduplication, and how to see existing watches. It does not describe the return shape, but create operations typically return the created watch and the list tool is provided as a fallback. Given the annotations and parameter descriptions, this is sufficient for correct 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 schema already documents accountIds and workspaceId well, and entityType has an enum. The description adds meaning by framing profileUrl as a LinkedIn company page or influencer profile and by explaining URL normalization dedupe behavior. The name parameter remains minimal, but the parameter name is straightforward and the description compensates reasonably for the 40% schema coverage.

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 opens with a specific verb and resource: 'Creates a new competitor watch to monitor a LinkedIn company page or influencer profile.' This precisely identifies the object and target, and the LinkedIn-monitoring focus distinguishes it from other watch-creation siblings. The purpose is unambiguous and actionable.

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 context for when the tool is appropriate: creating a competitor watch for a LinkedIn company or influencer. It also directs the agent to campaignstack_list_competitor_watches to inspect existing watches. It does not explicitly contrast with create_signal_watch or create_search_watch, but the resource type is distinct enough that the guidance is clear.

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