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The Mirror System — AI Citability

Mirror Studio (generate from a Reflection)

studio

Generate Mirror Studio output from a Reflection that has already been run — a discovery Plan, answer-first Copy, a Brand Communication page plan, or a Media Plan. Requires the briefId returned by reflect; this tool CONSUMES a completed Reflection and never re-measures or re-scores it. Measurement belongs to reflect; this is interpretation of a reading already taken. Run reflect first if you do not have a briefId.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesplan = phased discovery plan · copy = answer-first content · brandcom = single-theme page plan · mediaplan = earned/paid/programmatic split (returns JSON)
briefIdYesThe id returned by `reflect` (required). The Reflection must have finished rendering.
optionsNoKind-specific options.

TDQS

A4.4/5.0
Behavior4/5

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

The description discloses that the tool does not re-measure or re-score and consumes a completed Reflection. Annotations (`readOnlyHint=false`, `destructiveHint=false`) suggest mutation and non-destructiveness but the description adds context about the relationship with `reflect`. However, it does not detail side effects, error behavior, or output format.

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 two sentences plus a concise imperative instruction. It is front-loaded with the core purpose and outputs, then adds constraints and relationship to `reflect`. No 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?

The tool has 3 parameters including a nested object, no output schema. The description explains prerequisites, conditions (must be finished), and the nature of consumption. It lacks details about return values or error handling, but given the sibling context and schema richness, it is nearly complete.

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

Parameters3/5

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

Schema coverage is 100%, so the baseline is 3. The description adds context about the prerequisite (`briefId` must be from a completed Reflection) and ties `options` to specific `kind` values, but does not significantly expand beyond the schema's own descriptions for each parameter.

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 generates Mirror Studio output from a completed Reflection, listing four specific kinds. It explicitly distinguishes from the sibling tool `reflect` by noting this tool consumes a completed Reflection and never re-measures or re-scores.

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

Usage Guidelines5/5

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

The description explicitly states the prerequisite (`briefId` from `reflect`), clarifies that it consumes a completed Reflection and does not re-measure, and instructs to run `reflect` first if no `briefId` is available. This provides clear when-to-use and when-not-to-use guidance.

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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TDQS

A4.1/5.0
Disambiguation4/5

Each tool targets a distinct function: benchmark lookup, engine measurement, full audit, record request, quick score, and studio output. Some overlap occurs between 'score' and 'reflect' (both assess citability), but their scope difference (lite vs. full) is clearly delineated in descriptions.

Naming Consistency2/5

Tool names are inconsistent: 'aci55' uses an acronym and number, 'mcp_engine' uses lowercase with underscore, 'reflect' is a single verb, 'request_record' is verb_noun, 'score' is a single noun, and 'studio' is a single noun. No predictable pattern emerges.

Tool Count4/5

With 6 tools, the count is well-scoped for a niche domain like AI citability measurement. Each tool feels justified, covering lookup, scoring, audit, record creation, and output generation.

Completeness4/5

The tool set covers the core lifecycle: quick estimate (score), full audit (reflect), benchmark (aci55), MCP presence check (mcp_engine), record request (request_record), and output generation (studio). Minor gap: no tool for editing or deleting records directly, but that fits the human-approval workflow described.

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