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Glama

create_dpp

Use this tool to issue the Digital Product Passport of a twin created with create_product_twin. Cycle validates conformance FIRST (ESPR mandatory field set) and REFUSES to create an incomplete passport - if fields are missing it returns exactly which ones. OUTPUT: the DPP dataset + its public URL. EU registry submission happens the moment the EU opens it for textile (Cycle is integrated and in approval as service provider). Requires an organisation API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
skuNo
product_idNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

The description goes far beyond the sparse annotations: it reveals that Cycle validates ESPR conformance first, refuses incomplete passports, returns the exact missing fields, outputs the DPP dataset plus public URL, queues EU registry submission, and requires an organisation API key. It also does not contradict the annotations.

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 dense but every sentence contributes operational value: purpose, validation behavior, output, registry side effect, and auth requirement. It is front-loaded and avoids redundant restatement of the tool name.

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

Completeness4/5

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

It covers auth, validation, failure behavior, return output, and the registry side effect, which provides a strong overall picture. The missing piece is parameter semantics, which is a significant gap for a 2-parameter tool with no schema descriptions.

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

Parameters1/5

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

Schema description coverage is 0%, and the description never explains what sku or product_id mean, which is required, or how they identify the twin. An agent cannot reliably know whether to pass one, both, or what values they should come from.

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 clearly states a specific action - 'issue the Digital Product Passport of a twin' - and ties it to the precedent tool 'create_product_twin', which differentiates it from validation or requirement-checking siblings. The title 'Create a conformant DPP' reinforces the purpose.

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?

It explicitly positions this tool as the follow-up to create_product_twin and describes the conformance gate, giving clear context for when to use it. It does not explicitly name exclusionary conditions or alternatives like check_dpp_requirements or validate_dpp_readiness, but the predecessor relationship is a strong usage signal.

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

A4.2/5.0
Disambiguation5/5

Each tool has a distinct purpose: regulatory info, readiness validation, twin creation, DPP issuance, data carrier generation, and identifier validation. No two tools overlap in function; create_product_twin and create_dpp are complementary steps in the same workflow.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern: check_, create_, validate_. The verbs are consistent and the nouns clearly indicate the target object or action, making the API predictable and easy to navigate.

Tool Count5/5

With 6 tools, the server is well-scoped for the DPP lifecycle: requirements, readiness, twin creation, DPP issuance, carrier generation, and identifier validation. Each tool is essential and the count is appropriate for the domain.

Completeness4/5

The core workflow of creating a compliant DPP is covered (validate readiness, create twin, create DPP, generate carrier). Missing update/delete operations are likely out of scope for this server, but the absence of a retrieval or listing tool is a minor gap that agents could work around via the returned URLs.

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