SCRIPTMASTERLABS — GhostKey MCP
Server Details
Remote MCP for compliant pay-per-use agent capabilities with x402 execution.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
4 toolsghostkey_catalogAInspect
List the capabilities actually exposed by this GhostKey MCP server and identify staged paid families without pretending they are callable.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full behavioral burden. It explicitly discloses that staged paid families are not callable and that only actually exposed capabilities are listed, which is honest and useful. It does not mention a read-only guarantee or error behavior, but the listing semantics are reasonably clear from the verb choice.
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 entire description is a single sentence with the key action front-loaded. Every phrase adds meaning, especially the caveat about staged paid families, and there is no filler or repetition.
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 zero-parameter server introspection tool, the description is nearly complete: it states what is listed and the one critical caveat about staged families. It does not describe the exact response shape, but with no output schema and a simple 'list capabilities' intent, that is a minor gap.
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?
There are zero parameters and the schema coverage is effectively complete, so no parameter documentation is needed. The description adds no parameter-specific text, but this is acceptable for a parameterless tool; baseline 4 applies.
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 uses a specific verb ('List') and names the exact resource ('capabilities actually exposed by this GhostKey MCP server'). It also draws a clear boundary by saying staged paid families are identified but not presented as callable, which distinguishes it from the sibling tools.
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 this is a discovery/introspection tool rather than an operational one, but it never names siblings or states when to use this tool instead of ghostkey_policy, ghostkey_quote, or ghostkey_status. Usage context is present only by implication.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ghostkey_policyAInspect
Return GhostKey's operating, payment, and upstream-rights policy for autonomous agents.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the burden of behavioral disclosure. The verb 'Return' implies a read-only operation, which is helpful, but it does not explicitly state that it makes no changes, requires no authentication, or has no side effects. For a simple policy retrieval, this is acceptable but not comprehensive.
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, focused sentence that directly states the tool's purpose. There is no wasted wording, and the key details (operating, payment, upstream-rights policy) 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 tool with no parameters and a simple read-only nature, the description adequately explains what is returned. It does not detail the exact structure of the policy, but that may be unnecessary since the description itself defines the content.
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 input schema has 0 parameters, and schema description coverage is 100% (vacuously). The baseline for 0 params is 4, and the description does not need to explain parameters. It correctly focuses on the return value instead.
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 explicitly states a specific verb ('Return'), a resource ('GhostKey's operating, payment, and upstream-rights policy'), and an intended audience ('for autonomous agents'). This clearly distinguishes it from siblings like ghostkey_catalog or ghostkey_status, which are likely different resource types.
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 that this tool is used when an agent needs policy-related information, but it does not explicitly state when to use this tool versus alternatives. No exclusions or conditions are mentioned, leaving the agent to infer that it is for policy lookups only.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ghostkey_quoteBInspect
Explain how to obtain authoritative pricing for a GhostKey/SML paid capability. Pricing and settlement destination come from the fresh live HTTP 402 challenge, never a copied wallet or stale fixed price.
| Name | Required | Description | Default |
|---|---|---|---|
| capability | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden. It adds a key behavioral rule: pricing and settlement destination must come from the fresh live HTTP 402 challenge, never copied/stale data. But it does not describe the request/response behavior, side effects, or error cases.
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?
Two short sentences front-load the purpose and then add a non-obvious sourcing constraint. No filler or redundancy.
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?
There is no output schema, so the description should explain what the tool returns and how the caller obtains the live 402 challenge. It mentions pricing and settlement destination but leaves the output format, challenge acquisition, and error behavior undefined.
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 schema has one 'capability' string with no description (0% coverage). The description adds that the capability is a GhostKey/SML paid capability, but it does not specify accepted values, format, or how the capability should be identified, so compensation is partial.
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 names a specific resource and goal: obtaining authoritative pricing for a GhostKey/SML paid capability. It is distinct from sibling catalog/policy/status tools, but the verb 'Explain how to obtain' is somewhat indirect and does not explicitly say the tool returns a quote.
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?
It implies use when authoritative pricing/settlement destination is needed and explicitly warns against copied wallets or stale fixed prices. However, it never names siblings or states when to prefer ghostkey_catalog/policy/status, leaving selection to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
ghostkey_statusAInspect
Report GhostKey server status and check whether the configured ScriptMasterLabs x402 authority is reachable. Unknown stays unknown; no health result is fabricated.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It usefully discloses that unknown statuses are not fabricated, which is a non-obvious honesty guarantee. However, it does not explain possible result values, side effects, or what 'status' concretely includes.
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?
Two short sentences with no filler. The core purpose is front-loaded, and the caveat about not fabricating results is stated efficiently.
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 zero-parameter status tool, the description is largely sufficient for an agent to select and invoke it. It would be more complete with expected response shape, but the simple scope mitigates the lack of an output schema.
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 tool has zero parameters, so there are no parameter semantics to explain. The mention of a 'configured' authority adds useful context about what the status check targets, satisfying the baseline for a no-parameter tool.
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?
Description uses a concrete verb ('Report') and resource ('GhostKey server status') and adds a specific reachability check against the ScriptMasterLabs x402 authority. This clearly distinguishes it from sibling tools like catalog, policy, and quote.
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?
No explicit guidance on when to use this tool versus alternatives, and no mention of conditions that would make a sibling more appropriate. The intended usage is implied by the tool's purpose, but nothing actively routes the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user or an account that owns the GitHub organization, then choose Claim with GitHub.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
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
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
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.
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Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Each tool has a distinct purpose: catalog lists capabilities, policy returns policy details, quote explains pricing acquisition, and status reports server health. No two tools overlap in function.
All tool names follow the exact same pattern: 'ghostkey_' prefix followed by a single noun. Consistent and predictable naming scheme.
Four tools is well-scoped for a server focused on providing GhostKey metadata and status. Each tool addresses a clear need without unnecessary bloat.
The server covers catalog, policy, quote, and status, which are the core informational functions. It intentionally does not expose callable paid capabilities, so there are no obvious dead ends for its stated purpose.