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kmatata

mcp-germane_binoculars/zillow-leads-property-data

Server Quality Checklist

92%
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  • Latest release: v0.1.3

  • Disambiguation5/5

    Only one tool exists, so there is no possibility of ambiguity or confusion between tools. The single tool has a clearly defined purpose of retrieving Zillow property data enriched with agent and foreclosure info.

    Naming Consistency4/5

    With only one tool, there is no pattern to compare against, but the name is descriptive and unique. It does not follow a typical verb_noun convention, but it is not inconsistent or mixed, so it scores slightly above average.

    Tool Count3/5

    The server has exactly one tool, which feels thin for a property data domain. It is at the borderline where the tool might be sufficient for a narrow use case, but it lacks the breadth expected from a full property data API.

    Completeness2/5

    The tool description mentions polling and fetching via get-actor-run and get-dataset-items, but those are not provided as tools, creating a dead end for agents who need to wait for long-running jobs. The surface is severely incomplete for handling real-time data retrieval workflows.

  • Average 4.2/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 3 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.

  • This repository includes a glama.json configuration file.

  • This server has been verified by its author.

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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?

    With no annotations, the description carries the full burden and does a good job: it discloses asynchronous behavior ('Live-collect orders take minutes'), the status/nextStep response pattern, and how to retrieve data via get-actor-run and get-dataset-items. It stops short of covering costs, rate limits, or error states, so a 4 rather than 5 is appropriate.

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

    Conciseness5/5

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

    The description is two sentences, front-loaded with the core purpose and followed by the most important behavioral note. Every sentence earns its place 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?

    This is a complex 11-parameter tool with no output schema, but the rich parameter schema compensates. The description covers purpose, return contents, and the critical async polling workflow. It omits the three mode distinctions (catalog/custom_search/recent_activity) at the overview level, but those are thoroughly documented in the schema, so the overall package is reasonably complete.

    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 baseline is 3. The description adds a small behavioral context about live-collect orders that relates to waitSecs/timeoutSecs, but it does not add meaningful parameter-level meaning beyond what the schema already provides. Thus it stays at the baseline.

    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 a specific action: 'Calls the Actor ... and retrieves its output results.' It names the exact tool resource and enumerates the output contents (agent/broker contact info, price/tax history, foreclosure flags, schools). Since there are no sibling tools to differentiate from, this fully satisfies purpose clarity.

    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 gives clear context for when this tool is appropriate: obtaining enriched Zillow listings. It also provides practical usage guidance about live-collect orders taking minutes and how to poll/fetch results. However, it doesn't explicitly state exclusions or alternatives (though none are provided), so it falls just short of a 5.

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

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

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