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

Annotations only indicate readOnlyHint=false and destructiveHint=false, which is minimal. The description carries the full burden of behavioral disclosure and does so thoroughly: it states the agent gets a default safe tool policy, its own email address, read/write access to the app database, messaging capabilities contingent on owner verification, and a prerequisite for messaging others. This goes far beyond what annotations provide and fully informs the agent of side effects.

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 four sentences but packs a wealth of information without redundancy. It front-loads the core purpose, then explains capabilities, then provides usage context. Every sentence earns its place and the structure is logical, making it easy for an agent to parse.

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?

The description covers what the agent gets, its capabilities, prerequisites, and usage examples. It does not explicitly state the response format (e.g., returned agent object), but given the absence of an output schema, that is the only gap. Overall, it is complete enough for an agent to understand the tool's effects and how to use it, so a 4 is appropriate.

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 description coverage is 100%, meaning every parameter already has a description. The tool description does not add meaning beyond the schema, such as clarifying parameter interactions or providing examples. The baseline of 3 applies because the schema does the heavy lifting; the description adds no extra parameter value.

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 ('Create') and resource ('autonomous AI agent on the user's Fine Structure account'), and clearly distinguishes it from a chat session. It also names a related sibling (schedule_agent_task) and sets expectations about its standing-worker nature. This differentiates it from the many other creation tools in the sibling list.

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 provides explicit guidance: it says 'Pair it with schedule_agent_task for recurring work' and gives concrete examples (following up leads, watching for errors, weekly summaries). It also directs the reader to get_agent_whatsapp for phone verification and explains constraints on messaging other than the owner. This clearly defines when and how to use the tool.

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