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unclear_brief_email

Ask targeted clarifying questions when a client brief is too vague. Prevents rework and scope creep by requesting specifics before work begins.

Instructions

Write the email sent when a client's brief is too vague to start work safely — asks targeted clarifying questions before time is spent. Lists the specific unclear points concisely, explains why each matters (to avoid rework or surprises), and offers a quick call if it's easier than written answers. Professional and collaborative in tone — not a complaint, not a lecture. Prevents scope creep and misaligned deliverables from the start. Distinct from scope_change_email (used mid-project when scope expands) and revision_response_email (used after client feedback). Does not count against your monthly draft limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_nameYesFirst name or full name of the client
project_nameNoName or description of the project
unclear_pointsYesThe specific things that need clarification (e.g. 'Who is the target audience?', 'What does success look like — increased signups, revenue, engagement?'). 2–5 questions work best.
suggest_callNoWhether to offer a quick call as an alternative to written answers — defaults to true
response_deadlineNoDate or timeframe by which you need answers to stay on schedule (e.g. 'by Thursday', 'before end of week')
your_nameNoYour name for the sign-off
Behavior4/5

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

No annotations are provided, so the description must convey behavior. It describes tone (professional, collaborative), content (targeted questions, explanations), and goal (prevent scope creep). It also notes it doesn't count against monthly draft limit. This is sufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and informative, but slightly longer than necessary. Every sentence adds value, making it efficient for its size.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description fully explains the email's purpose, tone, content structure, and differentiation from siblings. It covers all necessary context for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and the description adds meaning beyond the schema: it explains how each parameter is used in the email (e.g., unclear_points become questions, suggest_call defaults true, response_deadline sets the timing). This is excellent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool writes an email for vague client briefs, asking clarifying questions. It explicitly distinguishes from scope_change_email and revision_response_email, making its unique purpose very clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use this tool (vague brief) and differentiates it from two siblings. It does not explicitly state when not to use it or list all alternatives, but the context is clear.

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

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