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MCP-OIDC4VCI

KI-gestützte Ausstellung von Verifiable Credentials mit MCP

Dieses Projekt untersucht, wie das Model Context Protocol (MCP) verwendet werden kann, um Fähigkeiten aus einem OpenID for Verifiable Credential Issuance (OIDC4VCI)-Ökosystem einem KI-Agenten bereitzustellen. Es zielt auf OIDC4VCI 1.0 (finale Spezifikation) ab.

Das Ziel ist weder, eine Wallet zu ersetzen, noch einem LLM Zugriff auf private Schlüssel oder uneingeschränkte Credentials zu gewähren. Stattdessen untersucht das Projekt eine stärker eingeschränkte Architektur:

Ein MCP-Server fungiert als agentenorientierte Orchestrierungsschicht, um einen OIDC4VCI-Credential-Ausstellungsablauf zu verstehen und voranzutreiben, während sicherheitskritische Operationen unter der Kontrolle dedizierter Komponenten bleiben, etwa einer Wallet oder eines Credential-Inhabers.

Das Projekt geht von einem konkreten Szenario aus:

Ein Benutzer erhält einen OIDC4VCI-Credential-Offer und möchte, dass ein KI-Agent hilft zu verstehen, was angeboten wird, und den Ausstellungsprozess begleitet oder orchestriert.


Motivation

OIDC4VCI definiert ein Protokoll zur Ausstellung von Verifiable Credentials an eine Wallet oder einen Credential-Inhaber. Ein typischer Ablauf umfasst einen Credential Offer, einen Credential Issuer und dessen Metadaten, einen Authorization Server, Autorisierungs- oder Pre-Authorized-Flows, Credential-Requests, Proofs und kryptografische Schlüsselbindung sowie die Zustellung und Speicherung von Credentials – eine erhebliche Menge an strukturierten Informationen, die ein Benutzer selbst auswerten muss.

Ein KI-Agent kann potenziell helfen, indem er einen Credential Offer versteht, erklärt, was angeboten wird, unterstützte Credential-Konfigurationen ermittelt, den erforderlichen Ausstellungsablauf bestimmt, erkennt, was als Nächstes benötigt wird, und nicht sicherheitskritische Protokollinteraktionen orchestriert.

Die zentrale Frage, die dieses Projekt untersucht, lautet:

Wie können OIDC4VCI-Fähigkeiten über MCP einem KI-Agenten bereitgestellt werden, ohne die Sicherheitsgrenzen von Wallets und kryptografischem Schlüsselmaterial zu gefährden?

Für das vollständige Systemdesign siehe Architektur. Für den geplanten Ausbau und den aktuellen Umfang siehe Roadmap.


Related MCP server: Cheqd MCP Toolkit

Architektur auf einen Blick

   AI Agent ──MCP──▶ OIDC4VCI MCP Server ──▶ Credential Issuer / Authorization Server
                              │
                              ▼
                       Wallet Boundary
                              │
                              ▼
              Key Management / Proofs / User Authorization

Der MCP-Server agiert als Vermittler zwischen dem KI-Agenten und dem OIDC4VCI-Ökosystem – er sollte nicht automatisch zu einer Wallet werden. Sicherheitskritische Operationen (Schlüssel, Proofs, Zustimmung) bleiben hinter einer expliziten Wallet-Grenze, niemals im LLM-Kontext.

Detaillierte Informationen, Komponentenverantwortlichkeiten, Datenflüsse, Tool-Verträge und Sicherheitsanforderungen finden Sie in docs/ARCHITECTURE.md.


Projektstatus

Anfangsphase. Die Architektur und der MVP-Umfang sind in docs/ARCHITECTURE.md und docs/ROADMAP.md skizziert.

Phase 1 (MCP Credential Offer Inspector) — abgeschlossen. inspect_credential_offer löst einen Credential Offer per Wert oder per Referenz (credential_offer_uri) auf, validiert ihn gegen OIDC4VCI 1.0 und gibt den Issuer, die IDs der angeforderten Credential-Konfigurationen und Grants zurück. Siehe src/mcp_oidc4vci/credential_offer.py.

Phase 2 (Metadaten-Ermittlung) — abgeschlossen. get_credential_issuer_metadaten ruft die Metadaten eines Credential Issuers von dessen Well-Known-Endpunkt ab und validiert sie (wobei das Well-Known-Pfadsegment gemäß Spezifikation korrekt vor allen P fadkomponenten der Issuer-Kennung eingefügt wird), überprüft, ob der zurückgegebene credential_issuer dem angefoderten entspricht, und gibt den Credential-Endpunkt, die Autorisierungsserver und die unterstützten Credential-Konfigurationen zurück. Siehe src/mcp_oidc4vci/credential_issuer_metadaten.py.

Phase 3 (Ausstellungsablauf-Engine) — abgeschlossen. describe_issuance_flow, initiate_issuance und get_issuance_status sind auf Basis eines In-Memory-IssuanceSessionStore implementiert. Für den Pre-Authorized-Code-Grant führt initiate_issuance den tatsächlichen Token-Request aus (OAuth-Authorization-Server-Discovery per RFC 8414, dann der Token-Austausch); für den Authorization-Code-Grant stopft er bei waiting_for_user_authorization, da der Abschluss dieses Ablaufs die Wallet-gesteuerte Weiterleitung erfordert, die Phase 4 ebenfals nicht abdeckt (siehe unten). Siehe src/mcp_oidc4vci/issuance.py, src/mcp_oidc4vci/authorization_server_metadaten.py und src/mcp_oidc4vci/token_request.py.

Phase 4 (Wallet-Grenze) — abgeschlossen (eingeschränkter Umfang). WalletAdapter (ein Protocol mit generate_proof und receive_credential) und MockWalletAdapter bilden die Grundlage für das neue request_credential-Too, das den Credential-Request für eine ready_for_credential_request-Sitzung abschließt: Issuer-Metadaten abrufen, eine neue Nonce holen, fals der Issuer eine benötigt, die Wallet um einen signierten Proof bitten (ein echter EC-signierter openid4vci-proof+jwt, niemals von diesem Server signiert), diesen per POST übermitteln und das ausgestellte Credential an die Wallet übergeben – dessen Inhalt erreicht den Agenten nie. Der Pre-Authorized-Code-Grant funktioniert jetzt Ende-zu-Ende. Siehe src/mcp_oidc4vci/wallet.py, src/mcp_oidc4vci/credential_request.py und src/mcp_oidc4vci/nonce.py.

Gemeinsame Datenmodelle befinden sich in src/mcp_oidc4vci/models.py, Tests in tests/ (99 % Testabdeckung, 124 Tests).


Technologie-Stack

  • Python — Implementierungssprache.

  • uv — Abhängigkeitsverwaltung, virtuelle Umgebungen und das Ausführen des Projekts.

  • FastMCP — High-Level-Python-Framework zum Erstellen des MCP-Servers und seiner Tools.

  • MCP Python SDK — das zugrunde liegende offizielle Protokoll-SDK, auf dem FastMCP aufbaut.

  • MCP Inspector — interaktives Werkzeug zum Testen und Debuggen der Tools des MCP-Servers während der Entwicklung.


Erste Schritte

# Install uv if you don't have it
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install dependencies
uv sync

# Run the MCP server through the MCP Inspector for interactive testing
uv run fastmcp dev inspector src/mcp_oidc4vci/server.py:mcp

# Lint, type-check, and run the test suite
uv run ruff check .
uv run mypy src
uv run pytest

Dokumentation

  • Architektur — Komponenten, Entwurfsprinzipien, Wallet-Grenze, Datenfluss, MCP-Tool-Verträge, Sicherheitsanforderungen.

  • Roadmap — MVP-Umfang, Entwicklungsphasen, Nicht-Ziele, Erfolgskriterien, zukünftige Erweiterungen.

Available Tools

6 tools
describe_issuance_flowB

Describe the steps required to obtain the credential(s) offered by a Credential Offer.

Resolves the offer and returns which grant-based flow applies and its ordered steps.

ParametersJSON Schema
NameRequiredDescriptionDefault
credential_offerYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden for disclosing behavior. It states that the tool 'resolves' the offer and returns the applicable flow, which implies a read/analysis operation rather than a mutating one. It does not address side effects, permissions, or edge cases, but the 'Describe' framing makes the operation's non-destructive nature reasonably clear.

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?

The definition is two short sentences with no waste; the first sentence states the purpose and the second adds detail about the output (grant-based flow and ordered steps). It is concise and front-loaded, though the first sentence is slightly redundant with the tool name.

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

Completeness3/5

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, the description covers the core purpose and result well. However, it lacks explicit usage boundaries, mentions no sibling alternatives, and does not clarify the credential_offer input format. Without annotations, these gaps leave the agent with some uncertainty about when and how to invoke it correctly.

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?

The schema has 0% description coverage for the only parameter, so the descrition must compensate. It mentions that the input relates to a 'Credential Offer', but it does not explain the expected string format, encoding, source, or any constraints on credential_offer. This is insufficient for an agent to confidently construct the parameter value.

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?

The description uses a specific verb 'Describe' and names the resource: the issuance flow for a Credential Offer. It further clarifies the output by saying it returns which grant-based flow applies and its ordered steps. However, it does not explicitly differentiate this from sibling tools like inspect_credential_offer or initiate_issuance, so it stops short of a 5.

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 the agent needs the ordered steps to obtain credentials from an offer, but it does not explicitly state when to use this tool instead of siblings such as inspect_credential_offer, initiate_issuance, or request_credential. It offers no exclusions, prerequisites, or alternative-routing guidance, so the usage context is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_credential_issuer_metadataA

Fetch and validate a Credential Issuer's metadata from its well-known endpoint.

Returns the issuer's credential endpoint, authorization servers, and the credential configurations it supports.

ParametersJSON Schema
NameRequiredDescriptionDefault
credential_issuerYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It discloses that the tool fetches over a well-known endpoint and performs validation, and it states the returned data. However, it does not clarify what 'validate' means in practice, what happens on invalid metadata, or whether any external network/auth considerations exist.

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?

Two tight sentences with no filler. The main action is front-loaded, and the return-value sentence adds necessary detail without repetition.

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

Completeness3/5

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

The tool is simple with one parameter and an output schema, and the description covers the core action and returned fields. It is incomplete regarding parameter format and validation failure behavior, but for a basic metadata fetch it is close to adequate.

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 coverage is 0%, so the description must compensate for the undocumented 'credential_issuer' parameter. The description implies the parameter identifies the issuer whose metadata is fetched, but it never explicitly explains the expected format (e.g., URL, identifier). This is enough for a single obvious parameter but not fully explicit.

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 uses a specific verb ('Fetch and validate') and names the resource ('Credential Issuer's metadata') plus the well-known endpoint location. It also lists the concrete return contents (credential endpoint, authorization servers, credential configurations), which clearly distinguishes this tool from siblings like get_issuance_status or inspect_credential_offer.

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

Usage Guidelines2/5

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

The description implies when to use it (when you need issuer metadata), but it gives no explicit guidance, no contexts to avoid, and does not mention any sibling alternative. An agent must infer usage from the tool name and general purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_issuance_statusB

Return the current state of a previously started issuance session.

ParametersJSON Schema
NameRequiredDescriptionDefault
session_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. 'Return the current state' signals a read-only status check, which is the main behavioral trait, but it does not explain what happens for invalid or expired session IDs, or whether the state is refreshed or cached.

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 that is front-loaded with the action and resource. Every word contributes meaning, and there is no redundant or filler content.

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

Completeness3/5

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

For a simple one-parameter status lookup, the description is minimally adequate, especially since an output schema exists. However, it lacks explicit guidance on where session_id comes from, when to call the tool, and how errors are surfaced.

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?

Schema description coverage is 0%, and the description only indirectly references the session parameter by saying 'previously started issuance session.' It does not explicitly state that session_id is the identifier returned from initiate_issuance, nor describe its format or expected provenance.

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?

The description uses a specific verb ('Return') and resource ('current state of a previously started issuance session'), making the tool's core purpose unambiguous. It is distinct from siblings like initiate_issuance and request_credential, though it does not explicitly name those alternatives.

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 phrase 'previously started' implies the tool should only be used after an issuance session has been initiated, which gives some contextual guidance. However, it does not explicitly state when to use this tool versus alternatives or mention related tools like inspect_credential_offer.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

initiate_issuanceA

Start an issuance session for a Credential Offer.

For the pre-authorized code grant, completes the token exchange immediately and the session ends ready_for_credential_request or failed. For the authorization code grant, the session is left waiting_for_user_authorization, since completing it requires a wallet-driven redirect not yet implemented. tx_code is the transaction code obtained from the user out-of-band, if the offer requires one.

ParametersJSON Schema
NameRequiredDescriptionDefault
tx_codeNo
credential_offerYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and does so thoroughly. It discloses immediate token exchange for pre-authorized grants, terminal states ready_for_credential_request or failed, the waiting_for_user_authorization state for the authorization code grant, the unimplemented redirect, and the out-of-band nature of tx_code.

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 focused sentences, front-loaded with the action and then expanding only into necessary flow-specific behavior. Every sentence adds operational value, with no filler or repetition of schema types.

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 complex issuance flow, the description covers the two grant types, their outcomes, the current implementation limitation, and the tx_code input. Since an output schema exists, return-value details are already handled outside the description, and nothing essential to invoking the tool correctly is missing.

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 has no descriptions, so the description must compensate. It explains tx_code well ('transaction code obtained from the user out-of-band, if the offer requires one'), but credential_offer remains only implicitly defined as the offer that starts the session, with no format or origin details.

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 a specific verb and resource: 'Start an issuance session for a Credential Offer.' It further clarifies the operation by describing distinct grant-type behaviors and resulting session states, making it unmistakable from siblings like get_issuance_status or request_credential.

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 by saying 'Start an issuance session' and details what happens for each grant type, but it never explicitly contrasts with sibling tools or states when not to use it. The guidance is mostly behavioral rather than decision-oriented, leaving alternatives unmentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

inspect_credential_offerA

Parse and validate an OIDC4VCI Credential Offer URI.

Resolves the offer (by value or by reference) and returns its Credential Issuer, requested credential configuration IDs, and available grants.

ParametersJSON Schema
NameRequiredDescriptionDefault
credential_offerYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral burden. It does disclose useful behavior: it resolves the offer 'by value or by reference' and returns specific data. But it says nothing about validation failure modes, networking behavior, or side effects, which matters for a resolve/validate operation.

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?

Two sentences with no filler. The main action is front-loaded, and the second sentence adds the behavioral and output details an agent needs. Every sentence earns its place.

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?

The tool has only one parameter and an output schema, so the return shape is already covered. The description adds the key resolution distinction and output highlights. Minor gaps are validation behavior and explicit exclusions, but overall an agent can invoke this correctly with the information provided.

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 0% and the schema only says credential_offer is a string. The description compensates by explaining it is a Credential Offer URI and that it can be resolved by value or by reference, giving the agent meaningful semantic context for the sole parameter beyond the raw type.

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 a specific verb and resource ('Parse and validate an OIDC4VCI Credential Offer URI') and then lists the concrete outputs (Credential Issuer, configuration IDs, grants). This makes it clearly distinct from the sibling issuance-and-status tools, which focus on different stages of the protocol.

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 intended trigger is inferrable: an agent should use this when it has an OIDC4VCI Credential Offer URI to inspect. However, the description never explicitly says when to prefer this over siblings or when not to use it, so the usage guidance is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

request_credentialA

Complete the Credential Request for a session that has an access token.

Generates a key proof of possession through the wallet adapter — this server never signs anything itself — and hands the issued credential to the wallet for safekeeping. Its contents are never returned to the agent.

ParametersJSON Schema
NameRequiredDescriptionDefault
session_idYes

Output Schema

ParametersJSON Schema
NameRequiredDescription

No output parameters

TDQS

A4.4/5.0
Behavior5/5

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

No annotations are present, so the description carries the full transparency burden. It discloses the proof-of-possession generation through the wallet adapter, the server's deliberate non-signing role, and the critical constraint that the issued credential's contents are never returned to the agent. These are non-obvious behaviors an agent needs to know.

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 two sentences: the first names the action and precondition, the second adds the key behavioral details. Every clause carries information; no filler or repetition. It is well front-loaded for an agent scanning the tool list.

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?

For a one-parameter tool with an output schema, the description covers the main action, important side effects, and the session precondition. It does not explicitly place itself in the issuance flow relative to siblings, but the access-token condition and 'completes' wording give enough context for correct invocation.

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?

With 0% schema description coverage, the description must supply parameter meaning. It adds that session_id refers to a session that already has an access token, which is useful, but it does not say where that session_id comes from (e.g., initiate_issuance) or provide format/source details. This is minimal compensation for a schema with a bare string parameter.

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 a specific verb and resource: 'Complete the Credential Request for a session that has an access token.' It also clarifies the outcome (credential handed to wallet) and highlights a distinguishing behavior (server never signs; contents never returned), which sets it apart from sibling inspection and initiation tools.

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 states a clear precondition — the session must already have an access token — which implicitly tells the agent when in the flow to call it. It does not explicitly compare it against siblings like get_issuance_status or inspect_credential_offer, so it misses the full 'when not to use' guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

TDQS

A3.8/5.0
Disambiguation4/5

Each tool targets a distinct phase of the OIDC4VCI flow, but inspect_credential_offer and describe_issuance_flow both resolve an offer and could be confused by an agent deciding whether to inspect contents or get next steps. The remaining tools have clearly separate boundaries.

Naming Consistency5/5

All six tools use a consistent snake_case verb_noun pattern, e.g. get_, inspect_, describe_, initiate_, and request_. There is no casing or verb-style mixing, making the set highly predictable.

Tool Count5/5

Six tools is well-scoped for an OIDC4VCI issuance server, covering offer inspection, metadata, flow analysis, initiation, status, and credential request. Each tool earns its place with no redundant or superfluous additions.

Completeness3/5

The toolset covers the pre-authorized code issuance path well, but the authorization-code grant is left in waiting_for_user_authorization with no tool to complete the user-authorization redirect or exchange the authorization code. This is a notable dead end for standard OIDC4VCI authorization-code flows.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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