minter-mcp
Server Quality Checklist
Latest release: v0.1.0
- Disambiguation5/5
Each tool has a clear, distinct purpose: status checks readiness, fund supplies the minter, mint_token creates a token, and mint_activate_bsv21 handles external discovery. No overlapping responsibilities.
Naming Consistency4/5All tools share the 'minter_' prefix, but the suffixes mix nouns (status), verbs (fund), and verb+object patterns (mint_token, mint_activate_bsv21). The consistent prefix helps, but the style is not uniform.
Tool Count5/5Four tools perfectly cover the minter's lifecycle: check, fund, mint, and activate. Neither sparse nor bloated for the stated purpose.
Completeness5/5The expected workflow is fully covered: verify status, fund if needed, mint a token, and activate for external visibility. There are no obvious dead ends or missing operations for the domain.
Average 4.1/5 across 4 of 4 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 3 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add
glama.jsonto the root of your repository:{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": [ "your-github-username" ] }Then . Browse examples.
Add related servers to improve discoverability.
How to sync the server with GitHub?
Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.
To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
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. It mentions the funding requirement and fast registration, but fails to disclose that the tool broadcasts a transaction, spends real satoshis, or that dryRun defaults to true—critical information for a minting operation that affects real funds.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys purpose, outcome, and prerequisite. It is front-loaded with the action and includes no filler or redundant details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the core purpose, prerequisite, and post-mint behavior, which is adequate for a moderately complex tool with a rich schema. It omits the dryRun/execution semantics, but these are documented in the input schema, so the description does not need to repeat them.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all five parameters are thoroughly documented in the schema itself. The description adds no parameter-specific meaning, meeting the baseline of 3 for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Mint one token into the wallet') and the outcome ('appears in Assets within seconds'), making the tool's purpose immediately understandable. It distinguishes itself from sibling tools like minter_status, minter_fund, and mint_activate_bsv21 by focusing on the minting action rather than status checks, funding, or protocol activation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly instructs to 'check minter_status first' as a prerequisite, providing clear context for when to use this tool. However, it does not explicitly mention when not to use it or direct users to minter_fund or mint_activate_bsv21, so it falls short of a perfect score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses two important behavioral traits: the interactive spending-authorization prompt and the blocking wait for spendability. It does not mention failure modes or that it creates an on-chain transaction, but 'top up' and 'user's own wallet' imply a real transfer of funds.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, front-loaded with the primary purpose, and the second sentence adds crucial behavioral detail. Every word earns its place; no fluff or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a state-changing operation with no output schema and no annotations, the description explains the action, the user prompt, and the wait, but it does not describe what the tool returns (e.g., transaction ID) or what happens if the user rejects the prompt. It is adequate for basic understanding but lacks some contextual depth for an agent to fully anticipate tool behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the schema itself provides excellent semantics (e.g., dryRun preview vs broadcast, satoshis amount with typical guidance, splitInto with STAS context). The tool description adds no additional parameter meaning, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Top up the minter') and the source ('user's own BSV Desktop wallet'), immediately distinguishing it from sibling tools like mint_token or minter_status. The verb-resource pairing is specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: top up the minter when it needs funds before minting. However, there is no explicit guidance on when to use this versus alternatives, nor any when-not-to-use conditions. The sibling tools exist but are not referenced in the description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses key behavior: 'Polls for the fee address, then pays it 2000 sats,' revealing both the fee payment and the external action. It could mention irreversibility, but the dryRun parameter in the schema partially covers that.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three concise sentences, each serving a distinct purpose: stating the action, clarifying when it is needed, and describing the process. No waste or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two well-documented parameters and no output schema, the description covers the purpose, the condition for use, and the expected behavior. It is fully sufficient for an agent to decide when and how to invoke it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed descriptions for both tokenId and dryRun, so the description does not need to explain them. The description adds no parameter-specific detail beyond what the schema already provides, meriting the baseline score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Activate a BSV-21 token id with GorillaPool' – a specific verb and resource. It further distinguishes the tool from siblings by noting it is 'only needed for external discovery,' clarifying it is not for minting or funding.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context: 'Only needed for external discovery' and 'the wallet already shows the token without this,' indicating when not to use. It does not explicitly name an alternative tool, but the purpose and siblings make the distinction obvious.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the transparency burden. It states 'Read-only, spends nothing', which is a critical behavioral trait. It also enumerates the exact checks performed, giving the agent a clear picture of what the tool does without side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, the first states the purpose and checks, the second adds the read-only trait and calling order. Every word is informative, with no repetition of schema or annotation data.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only status tool with no parameters and no output schema, the description provides sufficient context: what is checked, that it's safe, and when to call it. It does not describe the return format, but the enumerated checks give a reasonable expectation of the output.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the schema is trivially 100% covered. The description adds no parameter-specific information because none is needed. This aligns with the baseline of 4 for tools with no parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks minter status, with specific items (funding address, spendable balance, BSV Desktop running/signed in/network). It is easily distinguished from sibling tools like minter_fund, mint_token, and mint_activate_bsv21, which perform actions rather than status checks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Call this first', providing clear guidance on when to use this tool. It does not mention when-not to use it or explicitly compare with alternatives, but the sibling tools' names make their purposes obvious, and the instruction to call first implies it is a prerequisite.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GitHub Badge
Glama performs regular codebase and documentation scans to:
- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
Our badge communicates server capabilities, safety, and installation instructions.
Card Badge
Copy to your README.md:
Score Badge
Copy to your README.md:
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/MatiasJF/minter-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server