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build_get_project

Read-only

Get one project's details: schema_namespace (use this EXACT value as the namespace literal on every schema dict), last published version, AND the captured project_intent — the brief (project_description/summary), the discovered data model (entities/central_entity/relationships/status_workflows), and the landing intent (public_landing_view). BUILD TO THIS — it's the authoritative app spec the user already gave; don't re-ask or ignore it.

Input Schema

NameRequiredDescriptionDefault
project_uuidYesProject UUID (from build_list_projects or build_create_project).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / project_uuid / description
      Previous value: -"Project UUID (from build_list_projects)."New value: +"Project UUID (from build_list_projects or build_create_project)."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is clear. The description adds valuable non-obvious behavior: the returned schema_namespace must be reused verbatim as the namespace literal on schema dicts, and project_intent is authoritative and must not be re-derived. Error cases (e.g., project not found) are not mentioned, but that is a minor gap against annotation coverage.

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?

Front-loaded with the purpose, then the return contents, then the build directive. The long parenthetical enumerating project_intent subfields is dense but earns its place by telling the agent what to build against. There is mild redundancy between 'authoritative app spec' and 'don't re-ask or ignore it,' but no wasted sentences.

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?

No output schema exists, so the description carries the full burden of explaining return values — and it does so thoroughly, breaking project_intent into brief, data model, and landing intent with named subfields. For a read-only single-entity fetch, this is complete enough for an agent to call and use the result correctly.

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 description coverage is 100% and the single project_uuid parameter is documented in the schema, including where to source it (build_list_projects or build_create_project). The description adds no additional meaning about the parameter itself, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (get one project's details) and enumerates exactly what comes back: schema_namespace, last published version, and the full project_intent breakdown. This contrasts implicitly with build_list_projects and build_update_project, though no sibling is named explicitly.

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?

Gives a clear downstream directive — treat project_intent as the authoritative app spec and do not re-ask the user — which tells the agent why and how to use the result. It does not explicitly say when to call this versus build_list_projects or build_create_project, but the 'one project' framing and the schema pointer (UUID from list/create) cover most of that routing implicitly.

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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