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bonzhigh

Telegram MCP Server

by bonzhigh
OverviewSchemaRelated ServersScoreDiscussions
JavaScript
Remote

Server Quality Checklist

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

  • Latest release: v1.0.0

  • Disambiguation5/5

    Only one tool exists, so there is no possibility of confusing it with others. The tool's purpose is clearly stated.

    Naming Consistency5/5

    The tool name follows a clear verb_noun pattern (send_telegram_message), and with only one tool, consistency is trivially maintained.

    Tool Count2/5

    A single tool is far too few for a Telegram MCP server, which typically requires sending, receiving, editing, and media operations. The narrow scope of sending only to a default user makes the server feel like a minimal notification service rather than a general Telegram integration.

    Completeness1/5

    The tool surface is severely incomplete, covering only text message sending to a default recipient. Missing common operations such as sending media, editing messages, handling updates, and selecting recipients makes most Telegram workflows impossible.

  • Average 3.4/5 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

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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 the basic action but omits important traits such as side effects (external message delivery), error behavior if .env is misconfigured, whether the send is synchronous or asynchronous, or any rate limits. For a tool with no annotation safety net, this is insufficient.

    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, front-loaded sentence that directly states what the tool does without any redundant or extraneous words. It earns its place by being both concise and informative.

    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?

    The tool is simple, but with no output schema and no annotations, the description should explain what happens after sending, such as return values or error behavior. The current description ends at the action itself, leaving the agent without information about outcomes. This is a significant gap for proper tool selection and invocation.

    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 already provides 100% coverage for the single 'message' parameter with a clear description, so the tool description does not need to add more. The description adds no additional parameter meaning beyond the schema, placing it at the baseline of 3.

    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's action ('Send') and resource ('a message to the default Telegram user configured in .env file'). It is specific and directly mirrors the tool name, with no ambiguity. There are no sibling tools to differentiate from, so this fully satisfies purpose clarity.

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

    Usage Guidelines3/5

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

    The description implies usage whenever a message needs to be sent to the configured default Telegram user, but it does not explicitly state when to use this tool or mention any alternatives. Since there are no sibling tools, explicit exclusions are unnecessary, but the guidance is implied rather than stated.

    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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