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milancermak

Starknet MCP Server

by milancermak
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TypeScript
Remote

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility for ambiguity or overlap in purpose. The tool 'get_block' has a single, clearly defined function, so an agent cannot misselect between tools.

    Naming Consistency5/5

    The naming follows a consistent verb_noun pattern ('get_block'), and with only one tool, there is no inconsistency to evaluate. The pattern is clear and predictable.

    Tool Count2/5

    A single tool for a blockchain server is too few for the apparent scope of interacting with Starknet. This severely limits functionality, as typical blockchain operations would include querying transactions, accounts, contracts, or writing data, not just getting blocks.

    Completeness1/5

    The tool surface is severely incomplete for a Starknet blockchain server. It lacks basic operations like getting transactions, accounts, contract states, or writing data, which are essential for blockchain interactions, leaving significant gaps that will cause agent failures.

  • Average 2.9/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues 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.

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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

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what the tool does but lacks details on traits like error handling (e.g., what happens if the block doesn't exist), performance (e.g., latency), or return format. This is a significant gap for a tool interacting with a blockchain.

    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, efficient sentence with zero waste. It's front-loaded and appropriately sized for a simple tool, making it easy to parse quickly.

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

    Completeness2/5

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

    Given the complexity of blockchain interactions and lack of annotations or output schema, the description is incomplete. It doesn't cover behavioral aspects like error cases, return values, or any constraints, which are crucial for an agent to use this tool effectively in a real-world scenario.

    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 description coverage is 100%, with the parameter 'blockNumber' documented in the schema. The description doesn't add any meaning beyond this, such as explaining valid ranges or default behavior when the parameter is omitted. Baseline 3 is appropriate since the schema does the heavy lifting.

    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 clearly states the action ('Get') and resource ('a block from the Starknet blockchain'), making the purpose immediately understandable. However, it doesn't differentiate from any siblings (none exist), and 'Get' could be slightly more specific (e.g., 'Retrieve' or 'Fetch'), but it's still clear.

    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 provides no guidance on when to use this tool versus alternatives, prerequisites, or context. It's a basic statement of function without any usage instructions, leaving the agent to infer based on the tool name alone.

    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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  • Evaluate tool definition quality.

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