Skip to main content
Glama
Sonu0305
by Sonu0305

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool targets a distinct level of analysis: route-level aggregate OTP, trip-level late-trip detail, and data-quality context for quarantined rows. The descriptions explicitly frame list_late_trips as a drill-down from route_otp_summary, so there is no real overlap.

    Naming Consistency4/5

    All names use lowercase snake_case and clearly describe their output, but they do not follow a single verb_noun pattern: two are noun phrases (route_otp_summary, data_quality_report) and one uses a verb (list_late_trips). This is a minor stylistic deviation rather than a major inconsistency.

    Tool Count5/5

    With three tools, the server is tightly scoped to OTP reporting: summary, drill-down, and data quality. Each tool has a clear purpose and none feel redundant.

    Completeness4/5

    The tools cover the core read-only OTP workflow: aggregate summary, late-trip detail, and explanation of excluded data. A route enumeration tool would be a useful addition, but agents can work around this when route IDs are supplied.

  • Average 3.6/5 across 3 of 3 tools scored. Lowest: 2.9/5.

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

    • No community issues in the last 6 months
    • 1 commit in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI is passing
  • Add a LICENSE file by following GitHub's guide. Once GitHub recognizes the license, the system will automatically detect it within a few hours.

    If the license does not appear after some time, you can manually trigger a new scan using the MCP server admin interface.

    MCP servers without a LICENSE cannot be installed.

  • 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

  • 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 disclosing side effects and read-only nature. It does not state whether the tool modifies data, what happens with missing parameters, or define 'usable trips'. Potential side effects and data safety are ambiguous, given the lack of explicit read-only or mutation statements.

    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 brief and well-structured, consisting of two sentences that introduce the main behavior and a follow-up usage hint. It is concise without unnecessary fluff, though it omits important details that could be added without redundancy.

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

    Completeness2/5

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

    The description provides only minimal context: it references a prior tool and vaguely mentions 'usable trips' and 'late'. It does not explain the output structure, the meaning of parameters, or how to interpret results. Given the schema has 6 parameters and no output schema is shown, the description is insufficient for full understanding.

    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 description only partially explains include_on_time (late vs all trips) but provides no meaning for route, start_date, end_date, limit, or late_threshold_min. The schema gives titles but no descriptions, and the description adds minimal value for most parameters, leaving coverage low.

    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 usable trips that are late, with a conditional behavior based on include_on_time. The verb 'list' and resource 'usable trips' are specific, and it references route_otp_summary for context, avoiding tautology. However, it does not explicitly differentiate from other sibling tools beyond the usage hint.

    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 usage after route_otp_summary to drill into trips, providing some situational context. It does not explicitly state when not to use this tool or compare alternatives, so the guidance is implicit rather than explicit.

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

  • Behavior4/5

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

    With no annotations, the description carries the full burden. It discloses a key behavioral nuance: 'Surfaces the MH-12-7781 / OPS-2207 handoff text as a policy question without applying a hidden on-time override.' This clarifies that the tool does not silently alter results. It could add more about side effects or authentication, but as a reporting tool the read-only nature is evident.

    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 four sentences, each contributing unique value: the purpose, the explanation of exclusions, the policy question, and the explicit 'no hidden override' behavior. It is front-loaded with the core function and free of 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 read-only reporting tool, the description explains what it does and why, including a specific edge case (the handoff policy question). It omits parameter guidance, which is a gap, but the output schema exists and the overall context is sufficient for an agent to invoke the tool correctly. A 5 would require richer detail on when to use it relative to siblings.

    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 any of the three parameters (route, device_id, late_threshold_min). It provides no insight into how these optional filters affect the report. Since the description fails to compensate for the complete lack of parameter documentation, the agent must rely solely on parameter names.

    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 opens with a clear verb+resource: 'Report quarantined trips, reasons, and policy notes.' It sharply distinguishes from siblings by focusing on quarantined/excluded rows rather than on-time metrics or late trips. The second sentence reinforces this scope by explicitly stating it explains excluded rows and why.

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

    Usage Guidelines4/5

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

    The description provides clear usage context: this tool is for understanding data quality exclusions from OTP metrics. It does not name sibling tools as alternatives, but the contrast is implicit. There is no explicit exclusionary guidance ('use this instead of X'), so it stops short of a 5.

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

  • Behavior4/5

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

    With no annotations provided, the description carries the transparency burden and does well: it defines 'late' using arrival_delay_min > late_threshold_min, explains the default threshold, states quarantined rows are excluded and listed by id, and notes hidden vehicle overrides are not applied. It lacks return-format details, but an output schema exists.

    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 extremely concise and front-loaded: the first sentence gives the core purpose, followed by three tightly-scoped behavioral details. Every line adds unique value with no redundancy or filler.

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

    Completeness4/5

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

    The description covers the key behavioral nuances (late threshold, quarantine handling, override exclusion) and an output schema exists, so return values are covered. The main gap is the lack of context around date range parameters, but overall the tool is adequately specified for invocation.

    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 0%, so the description must compensate. It adds meaning for late_threshold_min (defining the late condition and default) and clarifies route scope, but start_date and end_date are completely unexplained—including format and behavior when null. This is a partial but incomplete compensation.

    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 summarizes on-time performance for one route, with a specific verb and resource. This distinguishes it from siblings like list_late_trips and data_quality_report, which focus on individual trips or broader quality issues.

    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 the tool is for route-level OTP summaries but gives no explicit guidance on when to use it versus list_late_trips or data_quality_report. There are no exclusions or alternative recommendations, only the implied scope of 'one route'.

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

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

cityflo-otp-mcp MCP server

Copy to your README.md:

Score Badge

cityflo-otp-mcp MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sonu0305/cityflo-otp-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server