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RicSchonfelder

whatsapp-hermes

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool addresses a distinct concern: connection status, sending text, sending images, listing chats, and retrieving messages. There is no overlap in purpose, so an agent can reliably select the correct tool for a given task.

    Naming Consistency4/5

    Tool names uniformly use the whatsapp_ prefix and mostly follow a verb_noun pattern (whatsapp_send, whatsapp_list_chats, whatsapp_get_messages). The only exception is whatsapp_status, which could be interpreted as a status check rather than a verb action, but the pattern is otherwise predictable.

    Tool Count5/5

    Five tools is well-scoped for a WhatsApp bot server: covering status, messaging, and chat listing without unnecessary bloat. Each tool has a clear role and none are redundant.

    Completeness4/5

    The set covers core lifecycle needs: check connectivity, send text, send images, list chats, and read incoming messages. Minor gaps exist, such as sending other media types or marking messages as read, but these are not critical for typical usage.

  • Average 4.1/5 across 5 of 5 tools scored.

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

    • No community issues in the last 6 months
    • 7 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, the description must disclose behavioral traits, but it only mentions 'buffered' and 'newest first'. It does not explain whether messages are consumed (removed) after retrieval, which is critical for a buffered message tool. No information about rate limits, pagination, or empty-buffer behavior is provided.

    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 communicates purpose and core options without filler. Every word contributes value, and the structure is ideal for quick understanding.

    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 and no annotations, so the description should cover return value format and behavioral side effects. It mentions filtering and ordering but omits what the returned message objects look like and whether the buffer is drained. This leaves important gaps, though the core filtering logic is clear.

    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 coverage is 100%, so each parameter already has a description. The tool description merely rephrases the filter options ('chatId', 'since', 'limit') without adding extra semantics like value formats or interaction effects. This meets the baseline for high schema 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?

    The description starts with a clear verb and resource: 'Get buffered incoming messages' and specifies ordering ('newest first'). This distinguishes it from sibling tools like whatsapp_send or whatsapp_list_chats, which are about sending or listing chats.

    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 clearly implies when to use it: retrieving buffered incoming messages. It does not explicitly exclude alternatives, but the context is unambiguous since the sibling tools have different purposes. The absence of exclusions is acceptable for a straightforward read tool.

    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, the description must disclose behavioral traits. It adds useful context about file requirements (absolute path, valid image types) but does not mention what happens on invalid input, whether the operation is blocking, or any side effects beyond 'sending' an image. This is a basic disclosure, not a rich one.

    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 the core action in the first sentence, and the second sentence adds a necessary precondition. Every word is useful, with no redundancy or filler.

    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 simplicity, the description covers the main purpose, the key prerequisite, and all parameters are well-documented in the schema. It lacks information about return values or error handling, but that is not critical for this straightforward send action. A brief note on when to use this versus whatsapp_send would improve completeness, but the current level is adequate.

    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%, so the baseline is 3. The description adds minimal meaning beyond the schema: it reiterates 'local absolute file path' and lists valid image formats (jpg, png, gif, webp). This is a slight enhancement but does not fundamentally improve parameter 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 the specific action: sending an image from a local absolute file path. The verb 'send' and resource 'image' are specific, and the source path is explicitly mentioned. It distinguishes itself from sibling tools like whatsapp_send (likely for text) and whatsapp_status (status updates).

    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 clearly implies the use case is sending images, and it provides a prerequisite (file must exist and be valid). However, it does not explicitly mention when not to use it or point to alternatives like whatsapp_send for text messages, which would warrant a 5.

    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 are provided, so the description carries the full burden. It explains address formats but does not disclose side effects, authentication requirements, or failure behavior. The send action is obvious, but no additional behavioral context is given.

    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, focused sentence that front-loads the primary action and then clarifies the parameter format. No redundant or filler content.

    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 2-parameter send tool, the description covers the most complex aspect (recipient format) and is sufficient for correct usage. It could mention message length limits or error behavior, but these are not critical for a basic text send operation.

    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 schema descriptions are minimal, but the tool description adds significant clarity: it explains that 'to' accepts a raw phone number (digits, country code, no +) or JID, and provides explicit JID examples for individuals and groups. This goes beyond the schema and is essential for correct invocation.

    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 'Send a WhatsApp text message' uses a specific verb and resource, clearly distinguishing it from the sibling tool whatsapp_send_image. It unambiguously states the tool's function.

    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 text-message usage but does not explicitly state when to use this tool vs alternatives. It provides no exclusions or alternatives, so the agent must infer from the word 'text'.

    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, the description carries full burden. It discloses the temporal scope ('since the server started'), sorting ('newest first'), and content ('last message preview'), which are meaningful behavioral traits. It does not mention pagination or empty-state behavior, but for a simple read-only list tool this is adequate.

    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 that front-loads the verb and resource, with no wasted words. Every phrase adds value.

    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 simplicity (no parameters, no output schema), the description provides enough information to understand the outcome: a list of recent chats with previews. It does not detail the exact return format, but that is not critical for selection and invocation.

    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?

    The tool has zero parameters and schema coverage is 100%, so there is nothing for the description to add about parameters. The baseline for no parameters is 4.

    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 uses a specific verb ('List') and resource ('recent chats'), and adds scope ('since the server started'), ordering ('newest first'), and content ('last message preview'). This clearly distinguishes it from siblings like whatsapp_get_messages or whatsapp_send.

    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 implies the usage context: when you need an overview of recent chats rather than specific messages. It does not explicitly name alternatives or exclusions, but the purpose and phrasing make the appropriate use case 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 of behavioral disclosure. It states the tool is a status getter and lists the specific return fields, implying a read-only, non-destructive operation. This is sufficient for a status check, though it does not mention potential side effects like rate limits or connection resets, which would justify a higher score.

    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 that is front-loaded with the action ('Get') and the resource ('WhatsApp connection status'), followed by specific details. Every word earns its place, and there is no redundancy.

    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 that the tool has no parameters and no output schema, the description fully explains what the tool does and what it returns. It covers the essential information needed for an agent to select and invoke the tool correctly.

    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?

    The tool has zero parameters, so the baseline is 4. The description does not need to explain parameter syntax or semantics, as there are none. It adds value by clarifying what the output contains, which is more relevant for a no-parameter status tool.

    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 'Get the WhatsApp connection status' and specifies the exact pieces of information it retrieves (connected, pairing, bot JID, buffered messages). This distinguishes it from sibling tools like whatsapp_send or whatsapp_list_chats, which handle different resources.

    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 clear context that this tool is for checking connection status, and the sibling tool names make it obvious when to use it versus alternatives. However, it does not explicitly mention when not to use it or name alternatives, so it falls short of a 5.

    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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