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

Annotations already cover readOnly, idempotent, openWorld and non-destructive, so the safety profile is settled. The description adds meaningful behavior the annotations cannot: the call returns an *interview for the AI to run* rather than the analysis itself, and it names the downstream artifacts (Idea Read, verdict, PDF). With no output schema, this disclosure is valuable; only auth/rate-limit details are absent.

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?

One colon-led sentence that front-loads what the tool is before describing the return value, with no filler. It is slightly dense, packing the interview mechanic plus three artifact types into one clause, but nothing is wasted.

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-optional-param, read-only, non-destructive tool with rich annotations, the description covers the key unknown: what comes back (an interview to run) and what it feeds into (Idea Read, verdict, PDF), which compensates for the missing output schema. Routing relative to sibling tools is the remaining 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?

There is a single optional parameter with 100% schema description coverage, so the schema already documents 'idea' fully. The description's phrase 'the idea in the user's words' loosely echoes the schema's wording but adds no format, length, or defaulting guidance beyond it, matching the baseline 3 when the schema does the work.

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 ('Start') and resource ('Honest Read') and explains the product jargon by defining it as a 'free scoping interview for an app or software idea'. An agent can tell this initiates an interview rather than evaluating an idea, though it never explicitly contrasts with submit_honest_read or build_interview_kit.

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?

Usage context is implied by 'for an app or software idea' and 'free scoping interview', so an agent knows the domain. However, there is no explicit when-to-use, no exclusions, and no named alternative among the 33 sibling tools (e.g., when to call submit_honest_read or request_project_scoping_call instead).

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