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bugzy-ai

simple-slack-mcp-server

by bugzy-ai

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation4/5

    Most tools have clearly distinct purposes. The two post message tools (plain and rich) overlap slightly, but their descriptions differentiate them. An agent might misselect if not careful, but overall ambiguity is low.

    Naming Consistency5/5

    All tools follow a consistent 'slack_verb_noun' pattern with snake_case. The naming is predictable and uniform across all 6 tools.

    Tool Count5/5

    6 tools is an appropriate number for a Slack integration focused on core messaging and channel interaction. It covers essential actions without being too sparse or bloated.

    Completeness3/5

    Covers basic operations like listing channels, posting messages, and reading history/threads. However, a search functionality is referenced in the get_channel_history description but not provided, and missing common actions like creating channels or deleting messages.

  • Average 3.6/5 across 6 of 6 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 Apache 2.0.

  • 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, the description should disclose behavioral traits but only restates the basic action. It omits pagination behavior, rate limits, or whether the parent message is included.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The single-sentence description is concise and front-loaded with the action, but slightly too sparse to be excellent. It could include more detail without sacrificing brevity.

    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 has 4 parameters and no output schema, but the description does not explain return value format, pagination handling, or any constraints. It is incomplete for effective use.

    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%, so baseline is 3. The description adds no additional meaning beyond what the schema already provides for parameters like cursor and limit.

    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 'Get all replies in a message thread' clearly states the action (get) and the resource (replies in a thread), distinguishing it from sibling tools that handle channels, posting messages, or adding reactions.

    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 like slack_get_channel_history. It does not mention prerequisites or context for invocation.

    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?

    No annotations are provided, and the description only states the action without disclosing behavioral traits such as required permissions (e.g., 'reactions:write' scope), idempotency, rate limits, or error handling. For a mutation tool, 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?

    One sentence, front-loaded with the action, no unnecessary words. Every word contributes to clarity.

    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?

    For a simple action tool with no output schema, the description is minimally complete. However, it does not mention the return value (e.g., success/failure) or potential errors, which would be helpful for the 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?

    Schema coverage is 100% with clear descriptions for all three parameters including format constraints for timestamp. The description adds no additional parameter information, but the schema suffices, 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.

    Purpose5/5

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

    The description 'Add a reaction emoji to a message' clearly states the action (add) and the resource (reaction emoji to a message), distinguishing it from sibling tools like slack_post_message or slack_list_channels.

    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?

    No explicit guidance on when to use this tool versus alternatives. The context is implied (when you want to react), but no exclusions or prerequisites are mentioned, leaving the agent to infer applicability.

    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?

    No annotations are provided, and the description only states the action without disclosing side effects, required permissions, rate limits, or any behavioral details beyond the obvious.

    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?

    Single sentence, no filler, front-loaded with key action and resource.

    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?

    Adequate for a simple post tool, but lacks mention of limitations (max length, formatting rules) and does not clarify the difference from rich message sibling, leaving some gaps.

    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 coverage is 100% as all three parameters have descriptions. The description adds no extra meaning beyond what the schema already provides, so baseline 3 is appropriate.

    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?

    Description clearly states the action (post) and resource (Slack channel or thread), and explicitly mentions 'plain text', distinguishing it from siblings like slack_post_rich_message.

    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?

    Usage is implied from the description but no explicit when/when-not guidance or mention of alternatives like slack_post_rich_message is provided.

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

  • Behavior3/5

    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 that it lists public channels and supports pagination. However, it does not mention rate limits, required permissions, or whether it returns all public channels or only those the user is a member of. This adds some value but is not fully transparent.

    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 sentence, front-loaded with the verb and resource. Every word is purposeful and there is no extraneous information, making it highly efficient.

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

    Completeness4/5

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

    For a simple list tool with pagination, the description covers the core purpose and pagination mechanism. It does not describe the return format or additional behavior, but given the simplicity, it is nearly complete. A slight gap is the lack of mention that it lists only public channels.

    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%, so both 'limit' and 'cursor' are already described in the schema parameters. The description adds no additional semantic detail beyond what the schema provides, so it meets the baseline but does not enhance understanding.

    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 'List public channels in the workspace with pagination', specifying the verb 'list', resource 'public channels', scope 'workspace', and mentions pagination. This distinguishes it from sibling tools like slack_post_message or slack_get_channel_history.

    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 does not explicitly state when to use this tool versus alternatives or when not to use it. It implies a read operation but lacks guidance on context, such as for obtaining a list of channels before posting or searching. Without explicit when/when-not, it is adequate but has gaps.

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

  • Behavior3/5

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

    No annotations provided, so the description bears full burden. It explains that the tool can post to channels or reply to threads, but does not disclose requirements, limitations, or error behaviors. More detail would be helpful for a write operation.

    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?

    Two sentences, front-loaded with the core action and resource, followed by supported features. No unnecessary words, highly efficient.

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

    Completeness4/5

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

    Given the tool's complexity (7 parameters, nested blocks, no output schema), the description covers the main use cases without being verbose. It could mention the required fallback text relationship, but schema handles that. Still, it is adequately complete for an agent to invoke.

    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%, so baseline is 3. The description adds that it supports plain text, markdown, and Block Kit layouts, but this is already evident from the schema. It does not provide new parameter-specific insights beyond the 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?

    Description clearly states the tool posts a rich structured message to Slack with Block Kit support, distinguishing it from simpler siblings like slack_post_message. It also mentions posting to channels or replying to threads, leaving no ambiguity about the action.

    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?

    Description implies usage for rich formatting but does not explicitly state when to use this tool versus alternatives (e.g., 'use slack_post_message for plain text'). The guidance is implicit rather than explicit.

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

  • Behavior3/5

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

    No annotations provided, so description carries full burden. It discloses chronological order, inclusion of bot messages, and pagination support, but omits rate limits, authentication requirements, or any potential side effects. Moderate disclosure.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness4/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    Description is brief (2 sentences plus a list) and front-loaded with the primary action. The list format aids readability, though the second sentence partially repeats schema info. Very efficient overall.

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

    Completeness4/5

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

    For a simple fetch tool with 3 parameters and no output schema, the description covers purpose, usage conditions, and pagination. Does not describe return format, but this is mitigated by the schema descriptions. Adequate for the tool's complexity.

    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 detailed parameter descriptions (e.g., channel_id includes usage guidance, limit has default and bounds). The tool description adds no extra semantic value beyond the schema, meeting the baseline for high coverage.

    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?

    Description clearly states the tool retrieves messages from a channel in chronological order. It distinguishes from sibling tools by specifying use cases and explicitly naming an alternative (slack_search_messages) for filtered searches.

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

    Usage Guidelines5/5

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

    Provides explicit when-to-use conditions (three numbered points) and a clear when-not-to-use condition (specific search criteria). Directs to an alternative tool, offering actionable guidance.

    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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