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Le-Circus

Measure.events MCP Server

by Le-Circus

Server Quality Checklist

67%
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  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: pageviews, referrers, summary, top pages, site listing, and event tracking. No overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with 'get_' for data retrieval and 'track_' for event recording. No mixing of conventions.

    Tool Count5/5

    6 tools is well-scoped for an analytics server. Each tool earns its place, covering core analytics operations without bloat.

    Completeness4/5

    Covers essential analytics: pageviews, referrers, top pages, site summary, site listing, and event tracking. Missing retrieval of custom events but still sufficient for most tasks.

  • 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
    • Last stable release on
    • 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 carries full burden for behavioral traits. It only states a read operation implicitly, but fails to disclose any potential side effects, authentication needs, rate limits, or response characteristics.

    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 clear, concise sentences with no redundant information. Every word contributes to understanding the tool's purpose.

    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 no output schema, the description should hint at the return format (e.g., list of referrers with counts). It does not, but the tool is simple enough that the minimal description 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 description coverage is 100%, so the baseline is 3. The description adds no extra parameter meaning beyond the schema's own descriptions of site_id and period.

    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 retrieves traffic sources (referrers) for a site, using specific verbs and resources. It distinguishes itself from sibling tools like get_pageviews and get_top_pages by targeting referrers specifically.

    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 description does not mention prerequisites, exclusions, or context for selection among sibling tools.

    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, but it only states the basic function. It fails to mention important details like data freshness, sorting order, pagination, or whether results are based on unique visitors.

    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 concise sentences with no unnecessary words. The description is front-loaded and gets straight to the point.

    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 description is minimal for a simple tool with two parameters and no output schema. While it covers the core purpose, it lacks details about expected response format or edge cases, 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.

    Parameters3/5

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

    Schema coverage is 100%, so the description adds limited value. It only provides a general statement about 'performing best' without elaborating on how parameters affect results. Baseline of 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?

    The description uses a specific verb 'Get' and resource 'most viewed pages on a site', clearly indicating the tool's function. It also explains the purpose 'Shows which content is performing best', which distinguishes it from sibling tools like get_pageviews.

    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 get_pageviews or get_referrers. The description does not mention context or exclusions, leaving the agent to infer usage from the name alone.

    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 mentions output behavior; lacks details on data freshness, authorization, rate limits, or whether today's partial data 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.

    Conciseness5/5

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

    Single sentence, front-loaded with essential information, no unnecessary words.

    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?

    Adequately covers what the tool does and returns for a simple 2-parameter query with no output schema, though missing sibling differentiation and behavioral details.

    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?

    Input schema provides 100% coverage with descriptions for both parameters (site_id and period). Description adds no additional value beyond the schema, so baseline score of 3 applies.

    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 verb 'get', resource 'pageview counts', scope 'for a site over a time period', and specifies output 'total pageviews and a daily time series', distinguishing it from sibling tools like get_referrers and get_top_pages.

    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 vs. siblings such as get_top_pages or get_site_summary. Usage is implied by the description but not explicitly clarified.

    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 convey behavioral traits. It states it returns a natural-language summary, but does not disclose whether the tool is read-only, requires any permissions, or has performance implications. The absence of destructive hint or read-only annotation makes the lack of clarity more significant.

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

    Conciseness5/5

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

    The description is concise with two sentences, front-loading the purpose and briefly mentioning what the summary includes. Every sentence adds value; no 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?

    For a simple one-parameter tool, the description covers the main purpose and output nature (natural-language summary). However, with no output schema, mentioning the output format more explicitly (e.g., 'returns a text string') would improve completeness. Still, it is largely 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% (one parameter described). The description adds no additional meaning beyond the schema, which already explains that site_id is required and should be obtained from list_sites. 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?

    The description clearly states it gets a natural-language summary of a site's analytics, covering traffic trends, top content, and referrers. This distinguishes it from sibling tools that provide raw data (e.g., get_pageviews, get_referrers) by offering a synthesized overview.

    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 use when an AI-friendly overview is needed, but does not explicitly state when to use this tool over alternatives like get_pageviews or get_top_pages. No when-not guidance or alternative suggestions are 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?

    No annotations are provided, so the description must carry the full burden of behavioral disclosure. It states that the tool returns site IDs, domains, and tracking keys, but does not mention any important traits such as authorization requirements, rate limits, pagination, or whether the list is exhaustive. Basic information is present, but not enough for full transparency.

    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 very concise with two sentences, front-loading the verb and resource. It avoids unnecessary detail while still providing key return fields. However, it could be slightly more structured by separating the purpose from the returns.

    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?

    The tool is simple (0 parameters, no output schema, no nested objects). The description is sufficient for its low complexity, clearly stating what and where it lists. It could be improved by specifying if all sites are returned or if there are any limitations.

    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 input schema has zero parameters and 100% schema description coverage, so the baseline is 4. The description does not need to explain parameters since there are none, and it correctly focuses on what the tool returns.

    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 the specific verb 'list' combined with the resource 'sites' and includes the scope 'in your Measure.events account'. It clearly explains what the tool does and distinguishes it from siblings like get_pageviews, which focus on specific metrics rather than a general list.

    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 when to use the tool (to list all sites), but it does not explicitly state when not to use it or mention alternative tools. Given the sibling tools have different purposes, the usage is clear enough, but lacks explicit exclusions or 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?

    No annotations are provided, and the description lacks behavioral details such as idempotency, rate limits, authentication requirements, or what happens on duplicate events. For a mutation 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.

    Conciseness5/5

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

    Single, clear sentence that is front-loaded with the key action and purpose. No unnecessary words.

    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 event tracking tool, but lacks details on return values, error handling, or limitations. Since there is no output schema, the description should hint at what to expect after a successful track.

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

    Parameters4/5

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

    Schema coverage is 100%, but the description adds value by providing examples for the name parameter (e.g., 'signup', 'purchase') and advising to get site_key from list_sites, which aids correct usage.

    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 tracks custom events on a site with specific examples (conversions, signups, button clicks). This distinguishes it from sibling read-only tools like get_pageviews.

    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?

    Provides clear use cases (conversions, signups, etc.) but does not explicitly exclude scenarios or compare to alternatives. Since siblings are all read-only, this is the only write tool, so context is sufficient.

    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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