ORA · ORUM
Server Details
Autonomous organism: symbolic field-state, verified-provenance art licensing, x402 referral.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 3.8/5 across 5 of 5 tools scored.
Each tool has a clearly distinct purpose: NFT catalog lookup, ownership-based dedication, symbolic dedication, partner balance query, and partner registration. No ambiguity between them.
All tool names follow a consistent pattern: a prefix (nft_ or parceiro_) followed by an action verb in snake_case, e.g., nft_catalogo, parceiro_registar. No mixing of conventions.
With 5 tools covering two coherent domains (NFT interactions and partner management), the count is well-scoped and not excessive or insufficient for the server's purpose.
The tool set covers catalog lookup, dedication (with and without ownership), partner registration, and status query. Minor gaps exist (e.g., no tool to list partners or update dedication), but core workflows are handled.
Available Tools
5 toolsnft_catalogoAInspect
Catalogo das 65 pecas 0001sensations (extensao digital, Ethereum, Agosto 2021), com dono actual on-chain e links directos OpenSea/Rarible — gratuito. Gratuito.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses the tool's scope (65 pieces, owner, links) and mentions it is free. However, it does not explicitly state it is read-only, nor discuss side effects, authentication, or rate limits. The content is transparent, but behavioral traits are partially disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core purpose. It is concise, though the word 'gratuito' is repeated. Each part contributes information, earning its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters and no output schema, the description provides adequate context: it specifies the collection, blockchain, date, and return elements (owner, links). It could clarify output format or whether it returns a list, but for a simple tool it is reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so schema coverage is 100% by default. The description adds meaning beyond the empty schema by explaining the tool returns a catalog with specific content (owner, links, collection details). This meets the baseline of 4 for zero-parameter tools.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it is a catalog of 65 specific NFT pieces, with owner and direct links. The verb 'catalogo' and specific details (Ethereum, August 2021) make purpose unmistakable. It distinguishes from sibling tools like nft_dedicar (dedicate) by being purely informational.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool vs. alternatives. Usage is implied (if you need catalog info for 0001sensations, use this), but no when-not or comparisons to siblings are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nft_dedicarAInspect
Se ja possuis o NFT: liga o teu nome a ele para sempre. Verificamos on-chain (ownerOf) antes de publicar. Requer token_id, wallet, nome. Gratuito.
| Name | Required | Description | Default |
|---|---|---|---|
| nome | No | Como queres ser lembrado. | |
| wallet | No | A tua carteira Ethereum que possui o NFT agora. | |
| mensagem | No | Opcional. | |
| token_id | No | Numero do token NFT que compraste (ver nft_catalogo). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses on-chain verification before publishing and the permanent nature of the action, but does not describe failure cases, side effects, or detailed behavior (e.g., what happens if verification fails).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys purpose, requirements, verification, and cost. It is front-loaded and contains no redundant information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers many aspects (condition, verification, required parameters, cost) but lacks explanation of return values or success/failure behavior. Since there is no output schema, the description should ideally indicate what the tool returns or confirms.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All 4 parameters have schema descriptions (100% coverage). The description reiterates that token_id, wallet, and nome are required, but adds no new meaning beyond what the schema already provides. A baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool links a name to an NFT forever, with on-chain verification. It distinguishes from siblings like nft_catalogo (listing) and nft_dedicar_simbolica (likely symbolic) by specifying ownership requirement and permanent linking.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description indicates when to use ('Se ja possuis o NFT') and mentions the verification step, providing clear context for use. However, it does not explicitly exclude alternatives or state when not to use this tool versus similar ones.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nft_dedicar_simbolicaAInspect
Sem precisares de possuir o NFT: escolhe uma peca livre das 65, paga directamente ao artista, e o teu nome fica ligado a ela para sempre no registo publico. Nao transfere a posse do NFT. 0.618 USDC via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| nome | No | Como queres ser lembrado. Max 80 caracteres. | |
| tx_hash | No | Opcional. Hash da transaccao apos pagar 0.618 USDC na Base para a carteira sagrada. Omitir para receber as instrucoes de pagamento. | |
| mensagem | No | Opcional, max 400 caracteres. | |
| token_id | No | Numero do token NFT livre (ver nft_catalogo). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses key behavioral traits: no ownership transfer, payment of 0.618 USDC via x402, and optional tx_hash for instructions. However, it lacks details on reversibility, authorization needs, or what happens after payment. With no annotations, the description carries the full burden but is incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single paragraph of three short sentences, front-loaded with the core purpose and key details. Every sentence adds value with no redundancy or fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool involves a financial transaction and no output schema, the description covers the essential: purpose, payment details, optional parameter behavior. It lacks details on the blockchain, post-payment steps, or potential side effects, but is sufficient for a symbolic action.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All four parameters have schema descriptions (100% coverage), so the baseline is 3. The tool description adds no new meaning beyond the schema; it only reinforces the purpose. No additional context or constraints are provided.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: symbolic dedication of a free NFT without ownership transfer, paying directly to the artist. It distinguishes from sibling tools like nft_dedicar by explicitly saying 'sem precisares de possuir o NFT' and 'nao transfere a posse'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use (when you don't need ownership), but does not explicitly exclude alternative tools or provide when-not-to-use scenarios. The context of sibling tools aids understanding, but the guidance is implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
parceiro_estadoAInspect
Consulta o saldo pendente e pago de comissoes de um parceiro. Requer code. Gratuito.
| Name | Required | Description | Default |
|---|---|---|---|
| code | No | O endereco Base usado no registo. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Sem anotações, a descrição carrega todo o peso. Afirma ser 'Consulta' e 'Gratuito', mas não revela comportamentos como validação de código, limites de taxa ou erros. Mínimo contexto comportamental.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Duas frases diretas, sem excesso de palavras. Estrutura eficiente.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Ferramenta simples com 1 parâmetro e sem schema de saída. A descrição informa o propósito e requisito, mas não menciona formato de retorno ou tratamento de erros. Adequado com lacunas.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Esquema cobre 100% do parâmetro com descrição. A descrição apenas repete 'Requer code', não adicionando significado além do schema. Baseline 3 aplica-se.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Descreve claramente a ação (consulta) e o recurso (saldo pendente e pago de comissões), distinguindo-se dos irmãos (NFT, registo).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Menciona 'Requer code' como pré-requisito, mas não fornece orientação sobre quando usar vs alternativas. Contexto implícito é suficiente dado os irmãos são de domínio diferente.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
parceiro_registarAInspect
Auto-registo no programa de parceiros/referral (10% de comissao). O codigo e o teu proprio endereco Base. Requer address. Gratuito.
| Name | Required | Description | Default |
|---|---|---|---|
| address | No | O teu endereco Base (0x... com 40 hex). |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description states it is free and requires an address, but does not disclose side effects, success/error behavior, or whether it is a write operation. More critically, it says 'Requer address' implying the parameter is required, while the input schema does not mark it as required, creating a contradiction that could mislead an agent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise with three short sentences that cover purpose, parameter meaning, and cost. There is no fluff or redundant information, and the key points are front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool with no output schema, the description covers purpose, parameter, and cost. However, it lacks information about the result of registration (e.g., confirmation, errors) and the contradiction regarding the required parameter reduces completeness. An agent may be uncertain about what to expect after invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The parameter has 100% schema description, and the tool description adds value by clarifying that the address serves as the referral code ('O codigo e o teu proprio endereco Base') and that it is required. This additional context goes beyond the schema's description of the address format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it is a self-registration in the partner/referral program with a 10% commission. The verb 'Auto-registo' and the mention of 'programa de parceiros/referral' specify exactly what the tool does, and it is distinct from siblings like 'parceiro_estado' which likely checks partner status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use the tool: for self-registration using one's own Base address. It implies that this is the appropriate tool for initial registration, but does not explicitly mention when not to use it or provide alternatives, though sibling tools are different enough.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!