PFT Chatbot MCP
OfficialServer Quality Checklist
Latest release: v0.5.1
- Disambiguation5/5
With only one tool available, there is no risk of confusing it with others. The tool's purpose is clearly described, ensuring agents can select it correctly.
Naming Consistency5/5The tool name 'create_wallet' follows a consistent verb_noun pattern, and since it is the only tool, naming consistency is inherently maintained.
Tool Count2/5A single tool for a chatbot MCP is too few; the apparent scope would include additional wallet operations such as balance checks or transfers, making the server feel underdeveloped.
Completeness2/5The server covers only wallet creation, missing essential operations like checking balance, sending PFT, or activating the wallet, which are necessary for a complete wallet management surface.
Average 4.2/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 0 of 1 community issues answered or closed in the last 6 months
- 0 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.
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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
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It discloses key behavioral aspects: the wallet is generated locally (implying no network call), the seed is the only access method, and activation requires a deposit. It does not mention potential error behavior or side effects, but for a generation tool the disclosed context is substantial.
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 and front-loaded. The first sentence states the primary purpose and outputs, and the second sentence adds critical warnings (activation deposit and seed security). Every sentence earns its place, with no fluff or redundancy.
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 simple tool with one parameter and no output schema, the description covers the needed context: it returns the address and seed, activation requirement, and security advice. It does not explain return format details or error handling, but these are minor gaps given the tool's simplicity and high schema coverage.
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 the schema already fully documents the single 'algorithm' parameter. The tool description adds no additional meaning about the parameter, so the baseline score of 3 applies.
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 'Generate a new PFTL wallet locally', which is a specific verb ('Generate'), a concrete resource ('PFTL wallet'), and a scope ('locally'). It also specifies the outputs ('wallet address and seed'), making the tool's purpose unambiguous even without sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Although no sibling tools are listed, the description provides actionable usage guidance: the wallet must receive a minimum deposit to be activated, and the seed must be saved securely. This tells the user when and how the tool is used (i.e., it creates a wallet that requires activation and seed custody), but it does not explicitly contrast with alternative tools.
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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