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grandmastr

Chronos MCP Server

by grandmastr

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: connect_wallet handles authentication, get_balances retrieves token balances, list_tokens enumerates available tokens, and transfer_funds performs transactions. There is no overlap or ambiguity between these functions.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (connect_wallet, get_balances, list_tokens, transfer_funds) with clear, descriptive names. The naming convention is uniform and predictable throughout the set.

    Tool Count4/5

    Four tools are reasonable for a Stellar wallet server, covering core operations like connection, balance checking, token listing, and transfers. However, the scope feels slightly thin as it lacks tools for advanced wallet management (e.g., transaction history, account details).

    Completeness4/5

    The tools cover essential wallet operations: authentication, balance retrieval, token listing, and fund transfers. Minor gaps exist, such as no tools for viewing transaction history or managing wallet settings, but agents can perform basic workflows without significant dead ends.

  • Average 2.9/5 across 4 of 4 tools scored.

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

    • No community issues in the last 6 months
    • 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?

    With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool connects using a secret key but doesn't describe what happens after connection (e.g., session persistence, error handling, or security implications like key storage). For a tool handling sensitive authentication with no annotation coverage, this is a significant gap in transparency.

    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 is front-loaded with the core action and resource, making it easy to parse. Every word earns its place by specifying the tool's purpose clearly without redundancy.

    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 wallet connection (involving authentication and potential security concerns), no annotations, no output schema, and a single parameter, the description is incomplete. It doesn't explain what the tool returns (e.g., success status, wallet details) or behavioral aspects like error cases, leaving gaps for an AI agent to understand the tool fully.

    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?

    The input schema has 100% description coverage, with the parameter 'secretKey' documented as 'Stellar wallet secret key'. The description adds no additional meaning beyond this, as it only repeats that connection uses a secret key. Baseline 3 is appropriate since the schema does the heavy lifting, but the description doesn't compensate or enhance parameter understanding.

    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 ('Connect to') and target resource ('a Stellar wallet'), specifying it uses a secret key. It distinguishes from sibling tools like get_balances or transfer_funds by focusing on authentication rather than querying or transactions. However, it doesn't explicitly differentiate from potential other connection methods (e.g., via public key or mnemonic), keeping it from a perfect score.

    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?

    No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a secret key), when not to use it (e.g., if already connected), or how it relates to sibling tools like get_balances. The description implies usage for wallet connection but lacks explicit context or exclusions.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool's function but lacks critical details: it doesn't specify if this is a read-only operation (implied but not explicit), potential rate limits, authentication needs, error conditions, or what the output format looks like (e.g., JSON structure). This leaves significant gaps for safe and effective use.

    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 that front-loads the core purpose ('Get balances for all tokens in a Stellar wallet'). There is no wasted verbiage or redundancy, 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 lack of annotations and output schema, the description is incomplete for a tool that interacts with financial data. It doesn't explain return values (e.g., balance amounts, token details), error handling, or dependencies on other tools like 'connect_wallet'. For a tool with no structured output documentation, this leaves the agent under-informed.

    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 single parameter 'publicKey' clearly documented in the schema. The description adds no additional parameter semantics beyond what's in the schema (e.g., format examples, validation rules, or context about the wallet). This meets the baseline for high schema coverage but doesn't enhance understanding.

    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 balances') and resource ('all tokens in a Stellar wallet'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_tokens' (which might list available tokens vs. getting balances), leaving room for potential confusion.

    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. It doesn't mention prerequisites (e.g., needing a connected wallet via 'connect_wallet'), exclusions, or comparisons to siblings like 'list_tokens' or 'transfer_funds', leaving the agent to infer usage context.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

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

    With no annotations provided, the description carries full burden but offers minimal behavioral insight. It doesn't disclose whether this is a read-only operation, requires authentication, has rate limits, or what the output format might be. While 'List' suggests a safe read, the lack of details on permissions or response structure is a significant gap for a tool with zero annotation coverage.

    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 that front-loads the core purpose without unnecessary words. Every part earns its place by directly stating the tool's function, making it highly concise and well-structured for quick understanding.

    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 lack of annotations and output schema, the description is incomplete for effective tool use. It doesn't explain what 'tokens' entail (e.g., types, formats), authentication needs, or response behavior. For a tool with one parameter but no structured safety or output info, more context is needed to guide the agent adequately.

    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 'publicKey' fully documented in the schema. The description adds no additional meaning beyond implying it's for a Stellar wallet, which is already clear from the schema. This meets the baseline of 3, as the schema handles the heavy lifting without extra value from the description.

    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 ('List') and resource ('tokens in a Stellar wallet'), making the purpose immediately understandable. It distinguishes from siblings like 'get_balances' by focusing specifically on tokens rather than general balances. However, it doesn't specify whether this includes all token types or just specific ones, keeping it from a perfect score.

    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?

    No explicit guidance is provided on when to use this tool versus alternatives like 'get_balances' or 'connect_wallet'. The description implies usage for token listing but doesn't mention prerequisites (e.g., needing a connected wallet) or exclusions. This leaves the agent to infer context without clear direction.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool performs a fund transfer but fails to mention critical aspects such as whether this is a destructive/mutative operation, authentication requirements (implied by 'secretKey' but not explicitly stated), potential rate limits, transaction fees, or error handling. This leaves significant gaps in understanding the tool's behavior.

    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, direct sentence that efficiently conveys the core purpose without any unnecessary words or fluff. It is appropriately sized and front-loaded, making it easy for an agent 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 a financial transaction tool with no annotations and no output schema, the description is insufficient. It lacks details on return values, error conditions, security implications, or operational constraints, making it incomplete for safe and effective use by an AI agent.

    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?

    The schema description coverage is 100%, so the input schema already documents all parameters thoroughly (e.g., 'secretKey' as source wallet secret key, 'destinationAddress' as destination public key). The description adds no additional semantic context beyond what's in the schema, such as format details or examples, resulting in a baseline score of 3.

    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 ('transfer funds') and target resource ('to another Stellar wallet'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'connect_wallet' or 'get_balances', which are distinct operations, so it doesn't reach the highest score for sibling differentiation.

    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 or any contextual prerequisites. It lacks explicit instructions on usage scenarios, exclusions, or comparisons with sibling tools like 'list_tokens', leaving the agent to infer usage 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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