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

Beyond the annotations, it discloses that translation spends LLM budget (paid by Vixdeo, not the wallet), that the call counts as one daily action, exactly which artifacts are inherited/reused vs re-made, and that the answer carries a typed `outcome` plus the new `projectId`. This is materially richer than readOnly/destructive/idempotent hints alone.

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 key distinction is front-loaded, but the body is one long paragraph with heavily nested parentheticals enumerating inherited vs reused artifacts, which is dense and hard to parse. Every clause carries information, but the structure would benefit from splitting into discrete statements for the gating, the inheritance list, and the spend notes.

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 complex, state-mutating, budget-spending operation with no output schema, the description covers return shape (projectId, typed outcome), spend/permission prerequisites, and the inheritance rules. There is little an agent would need that 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%, so the baseline is 3, but the description adds real meaning: confirm_spend is framed as a two-stage quote-then-commit gate tied to the same gating as project creation, and it clarifies the outcome typing (`cotizada`). Schoice and language semantics are largely covered by the schema.

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 the exact verb and resource (derive a rendition in another language from the project's current cut) and immediately draws the key semantic boundary: 'The SAME piece in another language — not a new piece'. An agent can distinguish this from generic project-creation or scripting siblings without opening any 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?

It gives precise when-to-use behavior for both modes: without confirm_spend it only prices, with confirm_spend=true it translates and writes. It also states the prerequisite (`Requires write`) and the wallet-coverage exception. It stops short of naming sibling tools it should be preferred over, but the usage conditions themselves are explicit.

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