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Get Durable Project (Summary Only)

project_get
Read-only

Retrieve summary metadata for a durable house project you own -- title, project type, current version number, schema/archive revision, created/updated timestamps, and the content hash of the requested version. Requires an API key; the project must belong to the calling key. Does NOT return the full house specification (rooms, colours, sources) -- use house_ref with palette_pdf to render a document from a project, or project_versions to see its version history. An unknown, deleted, expired, or not-owned project_id all return the same generic not-found response, by design.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
versionNoSpecific version number to describe. Omit for the project's current version.
project_idYesThe project_id returned by house_specify for an authenticated (keyed) call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, but the description adds substantial behavioral context: requires an API key, enforces ownership of the project, and deliberately returns the same generic not-found response for unknown/deleted/expired/not-owned project IDs. This goes far beyond the annotation to explain security and error-handling behavior.

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?

Four sentences, each earning its place: purpose, auth/ownership, exclusions/alternatives, and error behavior. Front-loaded with the core action, then essential caveats. No redundant wording or fluff.

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 simple two-parameter read tool with an output schema, the description fully covers purpose, constraints, alternatives, and error handling. The presence of an output schema means return-value details need not be in the description, so nothing important is missing.

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?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful semantics by tying project_id to ownership ('must belong to the calling key') and clarifying that version selects which version's summary/content hash is returned. This enhances the schema definitions, warranting a 4.

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?

Uses a specific verb ('Retrieve') and resource ('durable house project summary metadata'), listing exact fields returned (title, type, version, timestamps, content hash). It explicitly distinguishes from the full-spec retrieval tool by naming house_ref and project_versions, making its 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 Guidelines5/5

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

Provides clear when-to-use context ('summary metadata') and explicit when-not-to-use guidance: 'Does NOT return the full house specification' with named alternatives (house_ref with palette_pdf, project_versions). Also states the ownership requirement, aiding the agent in deciding applicability.

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

A3.7/5.0
Disambiguation2/5

Multiple tool clusters have unclear boundaries: colour_passport, colour_dna, colour_metrics, and colour_cultural_risk overlap heavily; palette_extract, extract_image_colours, image_palette, and ingest_image cover similar image-colour extraction territory; and compound tools like design_session, image_brief, session_brief, and archive_report_brief duplicate chains of component tools. The descriptions are detailed and occasionally state 'use this instead of X', but an agent still faces many near-duplicate choices.

Naming Consistency3/5

Names are consistently snake_case and often use domain prefixes (colour_, palette_, archive_, brand_, accessibility_), but verb placement is mixed: some are verb_noun (extract_image_colours, query_hex, style_match), others are noun_verb (colour_dna, palette_generate, brand_audit), and a few standalone names (ui_states, tool_guide, meta_capabilities) don't fit either pattern. The convention is readable but not uniform.

Tool Count1/5

At 88 tools, this is far beyond the reasonable well-scoped range and exceeds the 50+ extreme mismatch threshold. Many tools are compound wrappers that consolidate chains of simpler tools, adding redundancy and cognitive load rather than genuine coverage.

Completeness5/5

For the apparent domain, the tool surface is extremely comprehensive: colour extraction, analysis, naming, accessibility, cultural/provenance research, palette generation, brand systems, interior design, ecommerce copy, image briefs, project lifecycle, exports, and diagnostic tools are all present. Persistent objects have list/get/versions/delete/export support, so there are no obvious dead ends.

Resources