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scope_deliverables

Converts vague briefs into a precise list of deliverables with defined fields like count, format, length, aspect, revisions, raw-vs-edited, and usage window to eliminate ambiguity.

Instructions

Turn a vague ask into a defined deliverable list. Returns the exact fields to lock (count, format, length, aspect, revisions, raw-vs-edited, usage window) so nothing is left open to interpretation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the full burden. It explains the output (defined list with fields) but does not disclose side effects, idempotency, or whether it mutates state. Given no parameters, the behavior is reasonably transparent.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that conveys the purpose and key output fields without any wasted words.

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

Completeness4/5

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

Given no input parameters and no output schema, the description provides sufficient information: it lists the exact fields returned. It could clarify how the 'vague ask' is sourced, but overall it is adequate for a simple tool with zero parameters.

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

Parameters4/5

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

The tool has no parameters, so the description cannot add meaning beyond the input schema. With zero parameters, a baseline score of 4 is appropriate; no extra parameter documentation is needed.

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's function: converting a vague ask into a defined deliverable list. It enumerates specific fields returned (count, format, etc.), distinguishing it from sibling tools like build_shot_list or check_brief_red_flags.

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

Usage Guidelines3/5

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

The description implies usage when a vague ask needs refinement, but it does not explicitly differentiate from siblings or state when not to use the tool. Guidance is minimal but not absent.

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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