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mikedelcastillo

watush-mcp

by mikedelcastillo
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TypeScript
Remote

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    The two tools are clearly distinct: one lists recipients, the other sends messages. No overlap or ambiguity.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern (list_recipients and send_telegram_message), making the naming predictable.

    Tool Count5/5

    Two tools are exactly appropriate for a focused Telegram messaging server. Each tool has a clear, indispensable role.

    Completeness5/5

    The toolset covers the full lifecycle of sending a Telegram message: discover recipients and send messages. No obvious gaps given the intended scope.

  • Average 4.5/5 across 2 of 2 tools scored.

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

    • No community issues in the last 6 months
    • 15 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

  • 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 that the user always receives an audit copy of messages sent to others, which is a key behavioral detail. However, it does not address error conditions or prerequisites like authentication.

    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 concise (three sentences), front-loaded with the main purpose, and every sentence adds essential information. No wasteful repetition or fluff.

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

    Completeness3/5

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

    The tool has no output schema, so the description should ideally mention the return value or success indication. It covers the main behavior and the audit copy, but omits what the agent can expect as a response (e.g., success message, error handling). For a simple send tool, it is minimally adequate.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema coverage is 100%, so the baseline is 3. The description adds value by explaining that omitting 'to' or using 'me' messages the user, and by directing to list_recipients for valid names/tags, which goes beyond the schema's property descriptions.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool sends a Telegram message to the user or a named/tagged person. It specifies the verb 'send' and the resource 'Telegram message', and distinguishes itself from the sibling tool list_recipients by explaining how to specify recipients.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides explicit guidance on when to use the tool (e.g., when the user asks to be messaged, pinged, notified, etc.) and mentions using list_recipients to see valid recipients. It also explains the behavior of the 'to' parameter. While it lacks explicit 'when not to use' instructions, the context is clear.

    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 full burden. It discloses a key behavioral trait: 'Chat IDs are never returned.' This is important for privacy and security. It also implies the output contains recipient names and tags, which is sufficient for this simple tool.

    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 two sentences, front-loaded with purpose and followed by usage guidance and a key constraint. Every sentence is informative and earns its place with no wasted words.

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

    Completeness5/5

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

    Given the tool has no parameters, no output schema, and no annotations, the description provides all necessary context: purpose, usage guidance, and a critical behavioral detail (no chat IDs). It is fully complete for an agent to understand and select the tool.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters5/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The input schema has zero parameters, so the description provides all meaningful semantics. It explains what the tool returns (names and tags) and explicitly states what it does not return (chat IDs). This adds complete value beyond the empty schema.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose5/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the tool lists who can be messaged (owner and configured recipients) with names and tags. It uses the verb 'List' and the resource 'Telegram recipients', and distinguishes from the sibling tool send_telegram_message by explaining its purpose for mapping phrases to valid 'to' values.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines4/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description explicitly tells when to use this tool: to map a phrase like 'my partner' to a valid 'to' value for send_telegram_message. It provides clear context for usage, though it does not include explicit when-not scenarios, which is acceptable given its straightforward purpose.

    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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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.

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