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

With no annotations provided, the description carries the full burden. It discloses what the tool returns (business context, date, platforms, tool catalog, limits, freshness, capabilities) and mentions 'capability boundaries,' which is useful. It does not explicitly state it is read-only, but for a get-context tool this is a minor omission.

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?

Two sentences: the first densely lists the returned context items, the second gives actionable usage guidance. No filler or redundancy; front-loaded with the tool's purpose.

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 zero-parameter tool with no output schema or annotations, the description is remarkably complete. It enumerates the full set of context elements and explains how to use the catalog to route to other tools, leaving nothing essential missing.

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 tool has zero parameters, so the schema already fully covers them (vacuous coverage). The description correctly adds no parameter details, matching the baseline for parameterless tools.

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 states a specific verb ('Get') and a precise resource ('CreativeScope business context') further enumerated as current date, platforms, tool catalog, date limits, freshness, and capability boundaries. It clearly distinguishes this tool as the context provider among the many data-query siblings.

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?

It explicitly instructs the agent to 'Use the tool catalog to select the appropriate discovery, aggregate or ranking contract,' indicating this tool should be consulted before choosing other tools. While it doesn't name alternatives or state when not to use it, its uniqueness as a context tool makes the usage context clear.

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