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Export House Project as Editable DOCX or XLSX

project_export
Read-onlyIdempotent

Export the same house-flagship content palette_pdf renders as a genuinely editable Word document or Excel workbook -- for a client who needs to annotate the scheme, or a contractor building a materials/procurement schedule from it. Accepts exactly one of house, house_ref, or project_id (same resolution and ownership rules as palette_pdf: an authenticated project_id or house_ref requires its owner; an anonymous temporary house_ref works bearer-only). Never calls house_specify, never re-runs reasoning or re-matches archives -- it renders exactly what was already resolved and stored. DOCX mirrors the PDF flagship's structure (title page, house thesis, whole-house progression, one section per room, implementation details with the same historical/digital-estimate/commercial-candidate distinction, and a deduplicated source appendix) as real editable paragraphs and tables, never images. XLSX produces three sheets: Finishes Schedule (one row per room-surface-colour assignment), Evidence Register (one row per unique colour, the full citation/claim-strength/do_not_say trail), and Paint Procurement (one row per unique paint product, deduplicated for ordering). Every field left blank where the underlying stored data doesn't have it -- nothing is invented. delivery="url" (default) gives a signed R2 download link; delivery="base64" returns the file inline unless the encoded result is too large, in which case it fails closed with OUTPUT_TOO_LARGE_FOR_INLINE_DELIVERY and a repair instruction to use delivery="url" instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
houseNohouse_specify's full response object, unmodified -- alternative to house_ref/project_id. PREFER house_ref or project_id when available.
formatYesWhich editable format to produce.
deliveryNo'url' (default): signed, time-limited R2 download link. 'base64': file bytes returned inline as file_base64, unless too large -- see OUTPUT_TOO_LARGE_FOR_INLINE_DELIVERY.url
house_refNoThe house_ref string house_specify returns. For a durable (authenticated) project this also requires the same API key that created it.
project_idNoThe project_id returned by house_specify for an authenticated (keyed) call. Requires the same API key that created the project.
project_versionNoUsed with either house_ref or project_id -- export this specific immutable version instead of the project's current version. Omit to export the current version.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.6/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true and idempotentHint=true, and the description reinforces and enriches this by stating it 'renders exactly what was already resolved and stored' and never re-runs reasoning or re-matches archives. It also discloses the failure behavior for base64 delivery (fails closed with a repair instruction) and the 'nothing is invented' rule for blank fields, adding significant behavioral context well beyond what annotations provide.

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 a single dense paragraph that front-loads the core action, use case, and constraints before detailing output structure. Every sentence carries substantive information, but the lengthy enumeration of DOCX and XLSX layouts could be trimmed or restructured for even faster scanning. Still, for a tool with this complexity, it is appropriately detailed and mostly efficient.

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?

The description covers identifier exclusivity and ownership rules, the exact content structure for both formats, delivery modes with fallback behavior, and the no-invention guarantee. An output schema exists, so the description appropriately avoids repeating return values. This is fully sufficient for an agent to select and invoke the tool correctly.

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?

With 100% schema coverage, the baseline is 3, but the description adds critical semantics: 'Accepts exactly one of house, house_ref, or project_id' and explains ownership/resolution rules. It also clarifies the delivery enum's default and fallback behavior, and that project_version targets a specific immutable version. These details go beyond the schema descriptions, improving parameter understanding and correct usage.

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 opens with 'Export the same house-flagship content palette_pdf renders as a genuinely editable Word document or Excel workbook', naming the specific verb, resource, and target formats. It distinguishes from sibling palette_pdf by explicitly targeting editable DOCX/XLSX rather than a PDF render, making the tool's unique purpose unmistakable.

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 provides clear use cases ('for a client who needs to annotate the scheme, or a contractor building a materials/procurement schedule') and clarifies when it should not trigger re-reasoning ('Never calls house_specify, never re-runs reasoning or re-matches archives'). It also gives fallback guidance via the OUTPUT_TOO_LARGE_FOR_INLINE_DELIVERY error. However, it does not explicitly name alternative export tools for other scenarios, so it stops short of a fully explicit when/not-to-use matrix.

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

A3.8/5.0
Disambiguation2/5

With 88 tools, there is substantial overlap: colour_passport vs colour_dna vs colour_metrics vs colour_cultural_risk are explicit components of the same object; palette_concept vs palette_strict vs palette_generate vs palette_heritage overlap heavily; and four image extraction tools exist (extract_image_colours, image_palette, palette_extact, ingest_image). Although descriptions are detailed and tool_guide exists, an agent will frequently struggle to select the correct tool unambiguously.

Naming Consistency5/5

Nearly all tools follow a consistent snake_case noun_verb or domain-prefixed pattern (colour_*, palette_*, brand_*, archive_*, project_*, accessibility_*). The naming is uniform and predictable, with no mixing of styles or verb conventions across the set.

Tool Count1/5

88 tools is an extreme count for an MCP server. Even honoring the broad domain, the rubric places 50+ at the extreme end, and the high overlap between compound and individual tools suggests many could be consolidated or exposed as sub-resources rather than top-level tools.

Completeness5/5

The tool surface covers the full colour lifecycle: lookup, analysis, palettes, brand systems, accessibility, image extraction, interior design, archival research, reports, PDF generation, and project management. Workflows have clear entry points and few dead ends, and the presence of compound tools further closes integration gaps.

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