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arnavranjan005

mcp-telemetry

by arnavranjan005
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: listing jobs, getting detailed status of a specific job, and subscribing to live events. There is no overlap or ambiguity between them.

    Naming Consistency4/5

    All tools share the 'telemetry_' prefix, but the naming patterns mix plural noun ('telemetry_jobs'), singular noun phrase ('telemetry_job_status'), and verb ('telemetry_subscribe'). This minor inconsistency prevents a perfect score.

    Tool Count4/5

    With 3 tools, the server is slightly on the lean side but still provides the essential functions for monitoring telemetry jobs: list, detail, and subscribe. It feels appropriate for its focused scope.

    Completeness4/5

    The tool set covers the core workflows of viewing active/recent jobs, getting detailed status, and watching live progress. Minor gaps exist, such as lacking filtering or job management capabilities, but these are reasonable omissions for a simple monitoring server.

  • Average 3.9/5 across 3 of 3 tools scored.

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

    • No community issues in the last 6 months
    • 14 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing

  • 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

  • Behavior4/5

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

    Discloses blocking nature ('blocks and streams inline progress'), behavior with/without jobId, and timeout limit. With no annotations, description adequately conveys the streaming and blocking behavior.

    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?

    Single sentence efficiently packs purpose, blocking behavior, conditional logic, and timeout. Could be slightly more structured but no wasted 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?

    Explains core behavior but lacks details on event format, stop mechanisms beyond timeout, or output expectations. Without output schema, more context on return format would be helpful.

    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 already covers both parameters well (100% coverage). Description adds minimal new meaning beyond 'omit to watch next job' which is redundant with schema.

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

    Purpose5/5

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

    Clearly states 'Watch live job events as they happen' with specific verb and resource. Distinguishes from siblings telemetry_jobs (list) and telemetry_job_status (status check) by focusing on real-time streaming.

    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?

    Implies use for live monitoring but does not explicitly state when to use vs alternatives like telemetry_job_status for one-time checks. No when-not-to-use guidance.

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

  • Behavior3/5

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

    No annotations provided, so description carries full burden. It specifies scope (all servers, active and recently completed) but lacks details on output format, pagination, or rate limits. Adequate for a simple list operation.

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

    Conciseness5/5

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

    Single sentence with no wasted words. Front-loaded with key action and scope.

    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?

    No output schema provided, and description does not specify what fields the returned jobs contain. Minimal completeness for a simple listing tool, but could be improved by describing output structure.

    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?

    No parameters exist, so schema coverage is 100%. The description correctly adds no additional parameter information, aligning with baseline expectation for zero parameters.

    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 lists all active and recently completed jobs across all connected MCP servers. It distinguishes itself from siblings 'telemetry_job_status' (specific job status) and 'telemetry_subscribe' (subscription).

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

    Usage Guidelines3/5

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

    No explicit guidance on when to use this tool versus alternatives. Usage is implied by the sibling names but not directly stated.

    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 burden. It mentions what is returned (steps, cost, failure reason) but does not disclose read-only nature, error behavior, or permission requirements. Basic but not comprehensive.

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

    Conciseness5/5

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

    One clear, concise sentence with no wasted words. Information is front-loaded and easy to parse.

    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 low complexity (one parameter, no output schema, no annotations), the description is largely complete. It covers the key output elements. Minor gap: no mention of synchronous/asynchronous behavior or error handling, but acceptable for simple tool.

    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%, and the schema description for jobId is already informative. The tool description adds no extra meaning beyond what the schema provides, so baseline 3 is appropriate.

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

    Purpose5/5

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

    The description clearly states the action (get status), resource (specific job), and what is included (full status: steps, cost, failure reason). It distinguishes from sibling tools by implying this is for a specific job, while telemetry_jobs likely lists jobs.

    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 indicates when to use (to get full status of a specific job) but does not explicitly state when not to use or provide alternatives beyond the sibling list. The context suggests it is for individual job status, not listing.

    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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  • Evaluate tool definition quality.

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