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

Annotations already establish that this is a mutation and not destructive. The description adds meaningful behavior beyond annotations: it triggers ad reading and requires prior user agreement, though it does not cover reversibility or error behavior.

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 effect is front-loaded, followed by the call precondition and scoping note. Every sentence carries useful information with no redundancy.

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 mutating confirm action with a nested body, the description covers purpose, precondition, effect, and Space scoping. It leaves minor gaps around rejection guidance and result/error behavior, but the schema carries the field-level detail.

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 100%, so the schema already documents competitor_id, body, and the space_id override. The description reinforces Space scoping but adds no new detail about the nested IdentityConfirm body or its required fields.

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 and resource: confirming that a library account belongs to a competitor. It also names the immediate outcome, that Growomat starts reading its ads, which lets an agent distinguish it from discovery and rejection 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 gives a clear prerequisite: only call once the user has agreed the match is right. It also explains the Space scoping and points to set_active_space for switching, but it does not explicitly route to reject_competitor_library_account when the match is wrong.

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