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

With no annotations present, the description carries the full burden and does so: drawing is free, redone-able, subject to a daily limit, replaces any unmade draft, is gated to Premium/Ultimate, and always produces a photoreal seated-at-desk image. These are exactly the operational facts an agent needs before invoking a generation tool.

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?

Front-loaded with purpose and workflow, then constraints and gating. It is on the long side at roughly seven sentences, but each sentence carries distinct information (workflow, cost/limit, input guidance, prohibition, fixed output framing, plan requirement) rather than restating the schema.

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 one-parameter generation tool with no output schema and no annotations, the description supplies everything needed: pipeline position, cost and limit behavior, draft replacement semantics, plan gating, input guidance, and the fixed visual framing. Nothing material is 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?

Schema coverage is 100% and already documents the single 'description' parameter including its length bound, so baseline is 3. The description goes beyond the schema by enumerating what to include (age, build, hair, clothes, expression, room) and by stating the fixed pose that the input cannot change, which meaningfully constrains how the parameter should be written.

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?

States a specific verb and resource ('Draw a new AI presenter') and immediately differentiates itself from siblings by naming change_presenter and make_presenter and situating itself as 'step one' of a three-tool workflow. An agent can place it in the pipeline without opening any other schema.

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?

Explicit sequencing: draw, then adjust with change_presenter, then make_presenter. It also states an exclusion ('Do not describe a real identifiable person') and the retry condition ('calling this again replaces any unmade draft'), so both when-to-use and when-not-to-use are covered.

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