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Server Quality Checklist

58%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool targets a distinct resource-action combination (e.g., checkin, list, noshow, progress for appointments; reserve/confirm for booking; CRUD for guests). There is no overlap or ambiguity between tools.

    Naming Consistency5/5

    All tools follow a consistent pattern of 'zenoti-<resource>-<action>', making it easy to predict functionality. The naming is clean and uniform across all 23 tools.

    Tool Count5/5

    23 tools cover a wide range of salon/spa management functions without being excessive. The count is well-balanced for the domain, providing comprehensive functionality.

    Completeness4/5

    The tool set covers most core workflows (appointments, booking, guests, invoices, services, therapists, webhooks). Minor gaps exist, such as no explicit create appointment or delete operations, but the booking workflow implicitly creates appointments and the surface is largely complete.

  • Average 2.1/5 across 23 of 23 tools scored. Lowest: 1.5/5.

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

    • No community issues in the last 6 months
    • 4 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.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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

  • Behavior1/5

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

    No annotations provided, and the description gives no behavioral information (e.g., read-only, rate limits, prerequisites). The agent cannot infer safety or side effects.

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

    Conciseness2/5

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

    Extremely short but at the expense of completeness. The description achieves conciseness but omits critical information, making it under-specified rather than efficiently written.

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

    Completeness1/5

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

    Given no annotations, no output schema, and no parameter descriptions, the description is wholly inadequate. An agent cannot determine how to invoke or interpret results from this tool.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description does not mention parameters. The two parameters 'page' and 'size' lack any explanation of their purpose or default behavior.

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

    Purpose2/5

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

    Description is 'List centers', which is a verb+noun but essentially restates the tool name without clarifying what a 'center' is in this context. It does not differentiate from sibling list tools like 'zenoti-appointments-list' or 'zenoti-services-list'.

    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 on when to use this tool versus alternatives. Sibling tools include other list operations, but the description provides no context for selection.

    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, the description carries full burden. It implies a state-changing operation but provides no details on side effects, required authentication, or whether it is destructive.

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

    Conciseness2/5

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

    While short, the description is under-specified for a tool with no annotations and no output schema. It does not earn its place by adding clarity.

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

    Completeness1/5

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

    The description fails to explain return values, error conditions, or behavioral implications. It is incomplete for a mutation tool with no support from annotations or output schema.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description does not explain the 'appointment_id' parameter format or purpose beyond what the schema already shows.

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

    Purpose2/5

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

    The description 'Check in an appointment' is vague and does not specify what checking in entails (e.g., marking as arrived, starting service). It fails to differentiate from sibling tools like 'zenoti-appointments-noshow' or 'zenoti-appointments-progress'.

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

    Usage Guidelines1/5

    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, nor on prerequisites such as appointment status or required permissions.

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

  • Behavior1/5

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

    No annotations are provided, and the description does not disclose any behavioral traits. It does not state that the tool is read-only, what data is returned, or any side effects, leaving the agent unaware of critical behavior.

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

    Conciseness2/5

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

    The description is extremely short but fails to convey necessary information. It is underspecified rather than concise, lacking structure or any elaboration beyond the tool's name.

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

    Completeness1/5

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

    Given the complexity of the Zenoti booking domain, the presence of 4 parameters, no output schema, and no annotations, the description is completely inadequate. It does not enable an agent to correctly invoke the tool or interpret its results.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description does not explain any parameters. The four parameters (center_id, date, service_id, therapist_id) are left entirely undocumented, forcing the agent to rely solely on parameter names.

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

    Purpose3/5

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

    The description 'Get available slots' uses a verb and resource, but is vague. It does not specify what type of slots (e.g., appointment time slots) or clarify the scope. It stands apart from sibling tools like zenoti-booking-reserve, but could be more precise.

    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 zenoti-booking-reserve or zenoti-appointments-list. The description lacks context for appropriate usage.

    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, so the description must disclose behavior. It only says 'confirm', implying a state change, but gives no details on side effects, idempotency, or error conditions. The description does not contradict annotations (none exist), but is insufficient for an agent to understand the tool's effects.

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

    Conciseness2/5

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

    While short (2 words), this is under-specification, not conciseness. Every sentence should earn its place, but here the single phrase provides no value beyond the tool name.

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

    Completeness1/5

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

    Despite low complexity (2 params, no output schema), the description is completely inadequate. It fails to explain the tool's role in the booking workflow, the meaning of 'confirm', or how the parameters are used.

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

    Parameters1/5

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

    With 0% schema description coverage, the description must explain the parameters. It does not. The 'reservation_id' and 'notes' parameters are left entirely undefined, leaving the agent to guess their purpose or format.

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

    Purpose2/5

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

    The description 'Confirm booking' is a tautology of the tool name 'zenoti-booking-confirm'. It restates the name without adding specificity about the action or distinguishing it from sibling tools like 'zenoti-booking-reserve' or 'zenoti-appointments-*'.

    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 on when to use this tool versus alternatives. There is no mention of prerequisites (e.g., a prior reservation via 'zenoti-booking-reserve'), nor any indication of when not to use it.

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

  • Behavior1/5

    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, yet it says nothing about side effects, state changes, cancellations, or error conditions. The tool is likely a write operation, but that is not indicated.

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

    Conciseness2/5

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

    While extremely concise at 3 words, the description is under-specified for a tool with 5 required parameters and no schema descriptions. Conciseness should serve completeness, not replace it.

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

    Completeness1/5

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

    Given the tool's complexity (5 params, no output schema, no annotations), the description fails to provide minimally sufficient context for correct invocation, such as behavior or return values.

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

    Parameters1/5

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

    The input schema has 5 required parameters with no descriptions (0% coverage), and the description does not explain any parameter meaning, leaving the agent to guess what 'center_id', 'slot_time', etc., represent.

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

    Purpose3/5

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

    The description 'Reserve a slot' is vague; it states a verb and resource but doesn't specify what type of slot (e.g., appointment, service), and it fails to differentiate from sibling tools like 'zenoti-booking-confirm' or 'zenoti-availability-slots'.

    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. The sibling 'zenoti-booking-confirm' suggests 'reserve' might be a preliminary step, but no context is given, leaving the agent without decision support.

    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 provided. Description does not disclose any behavioral traits such as side effects, auth requirements, or whether feedback is stored or sent.

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

    Conciseness2/5

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

    Extremely short (2 words) but under-specified. Lacks vital information, making it not concise but incomplete.

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

    Completeness1/5

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

    With 4 parameters, no schema descriptions, no output schema, and no annotations, the description is completely inadequate for an agent to invoke correctly.

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

    Parameters1/5

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

    Schema has 4 parameters with 0% description coverage. Description does not add any meaning to appointment_id, rating, feedback, or nps_score. No enums or constraints mentioned.

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

    Purpose2/5

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

    Description 'Submit feedback' is a verb+resource but too generic. It does not specify what kind of feedback or context, and lacks differentiation from siblings which are mostly appointment and booking tools.

    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 on when to use this tool versus alternatives. No exclusions or prerequisites mentioned.

    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 provided. The description only indicates a read operation ('Get'), but offers no details about what data is returned, size limitations, or other behavioral aspects.

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

    Conciseness2/5

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

    The description is a single sentence, but it is under-specified rather than concise. It fails to convey essential information, making it inadequate.

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

    Completeness1/5

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

    For a simple get tool with one parameter, the description is severely lacking. It does not mention return values, how to get the form_id, or any cross-reference to zenoti-forms-list. The tool is incomplete.

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

    Parameters1/5

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

    The input schema has 0% description coverage. The description does not explain the 'form_id' parameter, its format, or how to obtain it. Schema alone provides no context.

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

    Purpose2/5

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

    The description 'Get form data' is vague; it doesn't specify that it retrieves data for a single form by ID. Given the sibling zenoti-forms-list, the purpose could be clearer.

    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 on when to use this tool versus alternatives like zenoti-forms-list. Agent is left to infer that this is for a specific form.

    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, the description carries full burden but only states 'Get service details', omitting any behavioral traits like error handling, permissions, or side effects.

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

    Conciseness2/5

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

    While brief, the description is under-specified rather than concise. It lacks essential details, making it unhelpful despite minimal length.

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

    Completeness1/5

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

    Given the absence of output schema, annotations, and parameter descriptions, the description is severely incomplete for a tool requiring two mandatory parameters.

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

    Parameters1/5

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

    Schema description coverage is 0% and the description does not explain the meaning of 'service_id' or 'center_id'. The agent receives no guidance on what these parameters represent.

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

    Purpose2/5

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

    The description 'Get service details' is a near tautology of the tool name 'zenoti-services-get'. It does not differentiate from sibling tools like 'zenoti-services-list' or specify what 'details' entails.

    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 given on when to use this tool versus alternatives such as 'zenoti-services-list' for listing services. No context on prerequisites or exclusions.

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

  • Behavior1/5

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

    No annotations are present, and the description does not disclose any behavioral traits such as side effects, authentication needs, or query scope. The agent cannot infer whether this is a safe read operation.

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

    Conciseness2/5

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

    The description is extremely concise (three words), but it is under-specified for a tool with multiple parameters and no other documentation. Conciseness should not come at the expense of completeness.

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

    Completeness1/5

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

    Given the tool has three parameters and no annotations or output schema, the description provides almost no contextual information. It fails to specify return format, filtering behavior, or required inputs beyond the name.

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

    Parameters1/5

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

    The input schema has 0% description coverage, and the tool description does not explain any of the three parameters (center_id, service_id, date). Their purpose and valid values are completely undocumented.

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

    Purpose3/5

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

    The description 'List therapists' states the verb and resource clearly, but it is essentially a restatement of the tool name and does not distinguish this tool from sibling list tools like 'zenoti-centers-list' or 'zenoti-services-list'.

    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. There is no context about prerequisites, filtering, or selection criteria.

    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 present, so description must disclose effects. It only says 'confirm' without explaining consequences (e.g., status change, irreversibility). Insufficient for a mutation tool.

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

    Conciseness2/5

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

    Extremely concise but under-specified. The single phrase 'Confirm an invoice' is too sparse to be useful.

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

    Completeness1/5

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

    Fails to provide sufficient context for a tool with one parameter, no output schema, and no annotations. Does not clarify what happens after confirmation or return value.

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

    Parameters1/5

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

    Schema description coverage is 0%, and description does not add any meaning to the invoice_id parameter beyond its name. No format, source, or example provided.

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

    Purpose3/5

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

    Description states it confirms an invoice, which is a specific action. However, it lacks specificity on what 'confirm' means (e.g., finalize, approve) and doesn't differentiate from sibling 'zenoti-invoices-close'.

    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 on when to use this tool versus alternatives (e.g., zenoti-invoices-close, zenoti-invoices-get). No prerequisites or context provided.

    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?

    Description provides no behavioral details beyond the action. No annotations exist, so the description carries full burden. It does not state whether the operation is read-only, safe, or has side effects. A listing tool is likely read-only, but this is not explicit.

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

    Conciseness2/5

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

    The description is extremely concise (two words) but omits critical information. While brevity is valued, it should be balanced with completeness. This is under-specified rather than efficiently written.

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

    Completeness1/5

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

    Given the lack of output schema, annotations, and parameter descriptions, the description is completely inadequate. It fails to explain return values, pagination, filtering, or any other behavioral context that an agent needs to use the tool correctly.

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

    Parameters1/5

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

    Input schema has two parameters (center_id required, category_id optional) with no descriptions. Schema description coverage is 0%, and the description adds no meaning about these parameters. An agent gets no guidance on what values to provide or how they affect results.

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

    Purpose3/5

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

    Description states 'List services', which indicates the tool's action and resource, but lacks specificity about what services and in what context. It distinguishes from sibling 'zenoti-services-get' which retrieves a single service, but does not clarify scope (e.g., by center or category).

    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 'zenoti-services-get' or 'zenoti-therapists-list'. The description does not mention any prerequisites or context for use.

    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 provided, so description must disclose behavioral traits. It does not explicitly state that this is a read-only operation or that no side effects occur. Although 'get' implies read, explicit transparency is lacking.

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

    Conciseness2/5

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

    Extremely concise at two words, but this is under-specification rather than effective conciseness. Lacks structure or any additional detail that would help an agent.

    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?

    With one parameter, no output schema, and no annotations, the description should provide more context about what 'guest details' includes. Incomplete for a tool that likely returns a complex object.

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

    Parameters1/5

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

    Schema description coverage is 0% and the description provides zero information about the guest_id parameter, such as its format or meaning. Entire burden falls on schema, which lacks descriptions.

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

    Purpose3/5

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

    Description 'Get guest details' is clear about the action and resource, but lacks scope or distinction from sibling tools like zenoti-guests-search, which also returns guest details. It doesn't specify that it fetches a single guest by ID.

    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 on when to use this tool versus alternatives such as zenoti-guests-search for searching or zenoti-guests-create for adding guests. Missing context for optimal usage.

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

  • Behavior1/5

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

    No annotations are present, and the description does not disclose any behavioral traits such as what happens upon subscription, whether the callback URL is validated, potential side effects, or error conditions. For a non-read-only tool, this is a significant gap.

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

    Conciseness2/5

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

    The description is extremely concise (3 words), but it sacrifices completeness for brevity. While front-loaded, it does not earn its place as it fails to provide sufficient information for tool selection and use.

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

    Completeness1/5

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

    Given the tool has 2 required parameters, no output schema, and no annotations, the description is completely inadequate. It does not explain the subscription process, event types, callback URL format, or any operational details necessary for correct usage.

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

    Parameters1/5

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

    The description adds no meaning beyond the schema's property names and types. Schema description coverage is 0%, meaning parameters like 'event_type' and 'callback_url' are unexplained. The enum values are listed but not described, offering no insight into their significance.

    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 'Subscribe to webhooks' clearly states the verb (Subscribe) and resource (webhooks), distinguishing it from sibling tools which are all about appointments, guests, invoices, etc. However, it could be more specific about what subscribing entails.

    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, prerequisites, or situations where it should not be used. The sibling tools are unrelated, so no competition, but the description offers no decision-making 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, the description carries full burden but only says 'Search for guests'. It does not disclose any behavioral traits such as pagination, sorting, permissions, or result format.

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

    Conciseness2/5

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

    The description is extremely concise but at the cost of necessary information. It is too minimal to be helpful, earning a low score for under-specification.

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

    Completeness1/5

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

    Given the tool's complexity (5 parameters, 3 required, enum, pagination) and lack of output schema, the description is completely inadequate. It fails to cover pagination, search types, required fields, or any other context.

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

    Parameters1/5

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

    The description adds no meaning beyond the input schema. With 0% schema coverage, the description should explain parameters like center_id, search_type, and search_value, but it does not.

    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 'Search for guests' clearly indicates the verb (search) and resource (guests), distinguishing it from sibling tools like 'zenoti-guests-get' or 'zenoti-guests-create' which imply different operations. However, it lacks specificity about search criteria.

    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. For example, there is no mention of when to use search instead of get, or any exclusions or prerequisites.

    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 and description lacks disclosure of side effects (e.g., invoice becomes read-only, guest balance updated, receipt generated) or constraints (e.g., partial payments allowed). Simply states the action without behavioral context.

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

    Conciseness2/5

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

    Under-specification: only 4 words, which is too minimal to be useful. Conciseness should not sacrifice essential information.

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

    Completeness1/5

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

    With no output schema, no annotations, and 4 poorly documented parameters, the description is severely incomplete. Lacks preconditions, side effects, and return values.

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

    Parameters1/5

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

    Schema coverage is 0% and description adds no parameter explanations (e.g., what invoice_id refers to, payment_amount unit, payment_type 'Custom' usage). Agent must infer from schema alone.

    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 'Close invoice with payment' clearly specifies the verb 'close', the resource 'invoice', and the scope 'with payment', distinguishing it from sibling tools like 'zenoti-invoices-confirm' and 'zenoti-invoices-get'.

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

    Usage Guidelines1/5

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

    No guidance on when to use this tool versus alternatives, no prerequisites, no conditions (e.g., invoice must be open, payment amount must match balance).

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

  • Behavior1/5

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

    No annotations are present, so the description must carry the full burden of behavioral disclosure. It fails to state that the operation is read-only, idempotent, or safe. It also does not mention any potential errors (e.g., invalid invoice_id) or authentication requirements.

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

    Conciseness3/5

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

    The description is extremely concise (3 words), which is good for quick reading but sacrifices necessary detail. It does not waste words, but the minimalism prevents it from being 'optimal' – it could include a short phrase about what 'details' entails without bloating.

    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 simplicity (1 param, no output schema, no annotations), the description is insufficient. It does not specify the expected return format, whether it returns a single invoice or a list, or how to handle errors. Sibling tools for invoices imply actions like closing or confirming, so context on when to get before acting is missing.

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

    Parameters1/5

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

    The input schema has one parameter 'invoice_id' with no description (0% schema coverage), and the tool description adds no explanation. The agent is left to guess the format, source, or example value for invoice_id. This is a significant gap for a single required parameter.

    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 specifies the verb 'Get' and the resource 'invoice details', clearly indicating the tool retrieves invoice information. It distinguishes from sibling tools like 'zenoti-invoices-close' and 'zenoti-invoices-confirm' by implying a read operation. However, 'details' is vague and could be more precise (e.g., 'full invoice data').

    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. There is no mention of context, prerequisites, or exclusions. For example, it does not state that this is for fetching a single invoice by ID versus listing all invoices (which is covered by a different tool).

    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 provided; description only says 'list' with 'filtering options'. It does not disclose read-only nature, pagination, sorting, side effects, or any behavioral traits. The description carries the full burden but fails to provide meaningful transparency.

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

    Conciseness3/5

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

    Very short single sentence, but it is not efficiently informative. It lacks structured details about parameters, usage, or output. Concise but at the expense of completeness.

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

    Completeness1/5

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

    Given 7 parameters, 2 required, and no output schema, the description is completely inadequate. It does not specify output format, pagination behavior, required parameter constraints, or how the filtering works. The agent cannot correctly invoke the tool based on this description alone.

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

    Parameters1/5

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

    Schema description coverage is 0% and the description does not explain any parameters. The phrase 'filtering options' is vague; no details on center_id, date, status, guest_id, therapist_id, page, size, or how to use them. The description adds no value beyond the schema.

    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 tool lists appointments with filtering options. It uses specific verb 'List' and resource 'appointments', and distinguishes from siblings like 'get' (single) and actions like 'checkin' or 'noshow'.

    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 on when to use this tool versus alternatives. Siblings include other appointment listers or action tools, but the description does not help differentiate or provide context for when to use filtering vs other endpoints.

    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 exist, so the description carries full burden. It only states 'update' without disclosing side effects, permissions, or what the status changes entail (e.g., notifications, state transitions).

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

    Conciseness3/5

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

    The description is very concise—a single phrase. While not verbose, it is under-specified and could benefit from more context 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?

    For a tool with 3 parameters, no output schema, no annotations, and multiple appointment-related siblings, the description lacks essential details about the progress workflow and integration with other tools.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description adds no parameter meaning. The purpose of 'service_id' is unclear; enum values are self-explanatory but not elaborated.

    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 'Update appointment progress status' clearly states the action and resource. It distinguishes from siblings like checkin, get, list, noshow by focusing on status progression.

    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 or what prerequisites are needed. It does not mention the lifecycle context (e.g., after check-in, before finish).

    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, the description must disclose behavioral traits. It only says 'create', implying mutation but gives no details on side effects, authorization needs, error handling, or return behavior.

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

    Conciseness3/5

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

    The description is extremely short (one sentence), which is concise but sacrifices informational value. It does not front-load critical details effectively.

    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 7 parameters and no output schema or annotations, the description is inadequate. It fails to explain what the tool returns or how to use it effectively.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description does not explain any parameter meanings or formats. Despite 7 parameters, the description adds no semantic value beyond the parameter names and types.

    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 verb 'create' and the resource 'guest', distinguishing it from sibling tools like get, search, and update. However, it lacks any scope details (e.g., system context) and is somewhat terse.

    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 (e.g., checking for existing guests via get or search). There are no prerequisites or conditionals mentioned.

    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, the description carries the full burden of behavioral disclosure. It only indicates a mutation ('Update') but fails to disclose side effects, whether partial updates are supported, required permissions, or any rate limits. Significant transparency gaps exist.

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

    Conciseness2/5

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

    At three words, the description is extremely concise but at the expense of valuable information. It lacks structure such as separate sections or examples, and every word should earn its place; here, the brevity undermines utility.

    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 tool has 7 parameters, no output schema, and no annotations, the description is grossly incomplete. It provides no context on return values, error handling, or when the update is applied, leaving the agent without essential information for reliable use.

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

    Parameters1/5

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

    Schema description coverage is 0%, meaning the input schema provides no descriptions for its 7 parameters. The description adds no meaning beyond parameter names, leaving agents to infer semantics from identifiers alone, which is insufficient for correct invocation.

    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 states the verb 'Update' and resource 'guest information', clearly indicating the action on a guest record. It distinguishes from siblings like 'zenoti-guests-create' and 'zenoti-guests-get', but is generic and lacks specifics about scope.

    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, such as when to create a guest versus update. No prerequisites or exclusions are mentioned, leaving the agent without context for appropriate usage.

    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 and only the phrase 'List forms', the description implies a read-only operation but fails to disclose what the list contains, any filtering or pagination behavior, or required permissions. Minimal transparency.

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

    Conciseness3/5

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

    The description is very concise (one sentence) and front-loaded, which is good, but it lacks necessary detail. It achieves minimum viability but does not add enough substance.

    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 single parameter and no output schema or annotations, the description should compensate but instead is too brief. It does not explain the output or relationship to sibling tools, leaving the agent under-informed.

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

    Parameters1/5

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

    Schema description coverage is 0%, and the description does not explain the appointment_id parameter beyond its name. No additional meaning is provided, leaving the agent without guidance on format or constraints.

    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 verb 'List' and the resource 'forms', scoped to 'for an appointment'. This distinguishes it from sibling tools like zenoti-forms-get which retrieves a single form.

    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 zenoti-forms-get. There is no context on prerequisites 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?

    No annotations are present, and the description does not disclose behavioral details like side effects (e.g., billing or notification impacts), reversibility, or permissions required.

    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 description is a single sentence with no waste, but it is under-specified given the lack of other documentation.

    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 tool with one parameter and no output schema, the description minimally conveys the action but lacks behavioral context, making it adequate but not comprehensive.

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

    Parameters1/5

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

    The description does not add any meaning beyond the schema for the single parameter 'appointment_id'. Schema description coverage is 0%, and the description fails to compensate.

    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 'Mark appointment as no-show' clearly states the verb 'Mark' and the resource 'appointment', and it distinguishes from siblings like checkin, get, list, and progress.

    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 such as zenoti-appointments-checkin or zenoti-appointments-progress.

    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 must convey behavioral traits. It implies a safe read operation, but does not disclose any potential side effects, authorization requirements, or rate limits. For a simple fetch, the transparency is adequate but not thorough.

    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 description is a single sentence with no extraneous words, achieving high conciseness. However, it could provide more context without increasing length significantly.

    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?

    Given the tool's simplicity (fetch by ID), the description is minimally adequate. However, it lacks details about the return value (no output schema) and does not differentiate from sibling tools, making it less complete for an agent unfamiliar with the domain.

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

    Parameters2/5

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

    The input schema has a single parameter 'appointment_id' with no description. The tool description does not add any meaning about the parameter's format, source, or usage, leaving the agent to rely on the parameter name alone. With 0% schema description coverage, the tool description fails to compensate.

    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 tool retrieves 'detailed appointment information', indicating a GET operation for a single appointment. It distinguishes from sibling tools like 'list' which likely returns summaries, but does not specify what 'detailed' includes.

    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 on when to use this tool versus alternatives such as 'zenoti-appointments-list' or 'zenoti-appointments-checkin'. The use case is implied but not explicitly 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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