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

Annotations already set readOnlyHint=false and idempotentHint=false, and the description goes well beyond them: it discloses that the call creates a project on the user's account, that a live voice/video session follows, and gives an operational rule ('The user taps Start and talks; stay silent while the interview runs'). That interaction guidance is exactly the kind of behavior annotations cannot express.

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 the core action, then scope, then usage trigger, then operational caveat. Every sentence carries information, though the parenthetical 'a talking video avatar' is decorative and the flow/verdict detail could be trimmed.

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?

An output schema exists, so return values need not be explained, yet the description still tells the agent what the user ultimately receives (a researched GO / NO-GO verdict). Combined with the account-creation side effect and the silent-during-interview rule, an agent has everything needed to invoke this correctly.

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% and both parameters are optional and self-documented ('idea in the user's words', ISO 639-1 'language'), so the schema already carries the meaning. The description adds no format or default detail for either parameter, which is the baseline-3 case.

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?

Names a specific action (opens a live voice interview with Alex, GoNoGo's AI mentor) plus the downstream outcome (market research and a GO / NO-GO verdict). It is clearly distinguishable from the read-oriented siblings (get_project_result, list_my_projects, whoami) because it is the only tool that initiates the interview flow.

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?

Explicitly states the trigger condition: 'Use it when the user wants to validate, test or pressure-test a startup or business idea.' It gives clear context but no exclusions or named alternative, so an agent cannot tell from the text what to do if the user instead wants to resume or inspect an existing interview.

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