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create_project

Idempotent

Create a durable supply project from an idea, file, BOM, exact part, or RFQ origin. Requires a scoped buyer credential.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
briefYes
need_byNo
demand_laneYes
external_idNo
origin_typeYes
budget_minorNo
fixture_kindNoExplicit lineage for integration fixtures; never use synthetic records as market evidence.real
project_typeYes
requirementsNo
build_quantityNo
budget_currencyNo
ship_to_countryNo
data_classificationNocommercial
ship_to_postal_codeNo
substitution_policyNoapproval_required

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already cover idempotency and non-destructiveness, so the description only needs to add extra context. It adds 'durable' (persistence) and the authentication requirement ('requires a scoped buyer credential'), which are useful. However, it doesn't disclose other behavioral traits like validation rules or potential side effects beyond creation.

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 a single concise sentence with no redundant phrasing. It front-loads the core action and immediately follows with the credential constraint, earning every word.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (16 parameters, 5 required, nested requirements array, output schema), the description is drastically under-specified. It does not explain what a 'durable supply project' entails, what the brief should contain, or the meaning of demand_lane/project_type. The existence of an output schema reduces the need to document return values, but the input side remains insufficiently described for an agent to know how to construct a valid request.

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

Parameters2/5

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

With schema description coverage at only 6%, the description had a responsibility to explain key parameters, but it does not. The mention of origin types maps to the origin_type enum already present in the schema, adding no new semantic value. Required fields like name, project_type, demand_lane, and brief are completely unexplained, leaving agents to infer their meaning from names and types alone.

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?

Description states a clear action ('Create a durable supply project') and enumerates specific origin types (idea, file, BOM, exact part, RFQ), making the tool's purpose distinct from sibling tools like source_project or create_purchase_plan. The verb+resource combination is precise and actionable.

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

Usage Guidelines3/5

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

The description implies usage when a project needs to be created from a listed origin, and mentions a credential requirement, but does not explicitly contrast with alternatives or state when not to use this tool. It provides enough context for basic selection but lacks exclusions or comparisons to sibling tools.

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

A3.6/5.0
Disambiguation5/5

Every tool targets a distinct resource, role, or action. For example, list_orders versus list_supplier_orders clearly separates buyer and supplier views, and update_supplier_order versus update_supplier_order_issue versus update_supplier_order_return handle different concerns despite similar names. Rich descriptions eliminate ambiguity.

Naming Consistency5/5

All tool names consistently use snake_case with a verb_noun pattern (e.g., create_project, list_orders, update_supplier_capabilities, search_products). The style is uniform across reads, writes, lists, and searches, making the API predictable.

Tool Count1/5

With 55 tools, the server far exceeds the typical well-scoped range of 3-15. Even for a broad supply chain platform, 50+ tools hits the rubric's 'extreme mismatch' threshold. The domain is comprehensive, but the sheer number overwhelms and likely complicates agent tool selection.

Completeness5/5

The tool surface covers the full lifecycle from project creation, BOM management, sourcing, quoting, planning, checkout handoff, orders, returns, issues, warranties, catalog updates, supplier profiles, and validation. It handles buyer and supplier sides with appropriate state transitions, and includes meta tools for connection and schema guidance. No obvious critical gaps exist.

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