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

Annotations already declare destructive=true and idempotent=false, and the description reinforces this with concrete consequences: each run spends credits, produces tracked output tasks, and does not overwrite prior projects. That credit-spend and preservation context is genuinely additive beyond the annotation flags.

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?

Four short sentences, front-loaded with the core action, then credit/task behavior, then follow-up polling, then rerun semantics. Every sentence carries information an agent needs.

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 mutation tool with no output schema and 0% schema description coverage on 5 parameters including a nested object, the description covers lifecycle and cost behavior well but leaves parameter usage entirely undocumented, which is a meaningful gap.

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 0% across 5 parameters, including a nested referenceImages object with url/label/mediaId, yet the description mentions none of them. It does not compensate for the coverage gap by explaining version, parameters, or reference image semantics.

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 ('Generate a saved production template into a new editable Sequencer project') and clearly distinguishes itself from siblings like get_production_template, save_production_template, and validate_production_template by describing the instantiation/execution behavior.

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?

Gives actionable operational guidance: poll get_production_status after running, and call again to rerun while prior projects remain preserved. It does not explicitly state prerequisites such as needing a templateId from list_production_templates, but the usage context is clear.

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