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

Annotations declare it is a non-read-only, open-world, non-idempotent call, and the description adds real behavioral context beyond that: materials are sent to a third-party AI provider, the account's MCP AI quota is consumed, and nothing is persisted or published. It stops short of describing failure modes or latency, but the privacy/cost/side-effect boundary is well disclosed.

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?

Three tight sentences with the core action front-loaded and no filler beyond the mildly redundant 'Use Vokolla AI' opener. The quota and no-save constraints are placed where an agent will read them before invoking.

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 non-idempotent AI-generation call with no output schema, the description covers data egress, quota cost, and non-persistence reasonably well, and 'Missing facts are marked for the customer' hints at the returned draft's shape. It is thin on the four parameters and on what the caller actually receives back.

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%, so the description carries the full burden, yet it only loosely maps to 'materials' via 'notes or extracted document text'. The plan, language, and releaseLanguage parameters, the 20k material cap, and the fact that materials is the sole required field are all left unexplained.

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 (draft) plus resource (press release) and names the input source (customer-supplied notes or extracted document text). It is distinguishable from siblings like ai_review_release and ai_adapt_release, though it never explicitly says how it differs from them.

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 input-shape guidance (notes or extracted text) and implies a follow-up step by stating it 'Does not save or publish', which points toward save_draft. However it never states when to prefer this over ai_adapt_release or ai_review_release, nor any prerequisites.

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