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Delete a Durable Project

project_delete
DestructiveIdempotent

Soft-delete a durable house project you own. Idempotent -- deleting an already-deleted, unknown, or not-owned project_id returns the same successful-shaped response either way, and never discloses which case occurred. Version rows are never physically erased. Once deleted, a project can no longer be resolved by project_id or house_ref.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesThe project_id returned by house_specify for an authenticated (keyed) call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior5/5

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

The description adds substantial behavior beyond the annotations: soft-delete semantics, idempotence across all edge cases, non-disclosure of which case occurred, explicit statement that version rows are never physically erased, and the post-delete resolution effects. These details are critical for an agent to trust and safely invoke the tool.

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 three sentences with no fluff, front-loaded with the core purpose, and every sentence adds meaningful behavioral detail. It is efficiently structured and easy to parse.

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?

For a single-parameter tool with an output schema and strong annotations, the description covers all essential behavioral context: ownership, idempotence, non-disclosure, physical row retention, and post-delete resolution. No significant gaps remain.

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?

The input schema already provides 100% coverage for project_id, including its origin ('returned by house_specify for an authenticated (keyed) call'). The description adds context about ownership and house_ref effects, but does not need to elaborate on the parameter itself. Baseline 3 is appropriate given schema coverage.

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 'Soft-delete a durable house project you own,' clearly identifying the specific verb (soft-delete), resource (durable house project), and ownership constraint. It is immediately distinguishable from sibling tools like project_get, project_list, and project_versions.

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 clearly states the tool applies to projects 'you own' and explains idempotent behavior for already-deleted, unknown, or not-owned IDs, setting expectations for when it can be safely invoked. It does not explicitly name alternatives, but the context is sufficient for a destructive single-resource operation.

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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