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InhiblabCore

mcp-image-compression

by InhiblabCore
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Hybrid

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    Only one tool exists, so there is no ambiguity with other tools.

    Naming Consistency5/5

    With a single tool, naming consistency is not applicable; the name is clear and follows a verb_noun pattern.

    Tool Count4/5

    One tool for image compression is slightly below the typical range but reasonable given the narrow focus.

    Completeness2/5

    The single tool only compresses images without apparent options for quality, dimensions, or format conversion, leaving many image operations uncovered.

  • Average 2.3/5 across 1 of 1 tools scored.

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

    • No community issues in the last 6 months
    • 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

  • Behavior1/5

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

    With no annotations, the description carries full burden to disclose behavioral traits. It says nothing about whether the compression modifies the original, what is returned, rate limits, or supported size limits. The agent has no clue about side effects or constraints.

    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 phrase), which makes it concise, but it is under-specified. It achieves conciseness at the expense of critical information, so it does not earn its place fully. A balanced description would be more effective.

    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 image compression and the lack of an output schema or annotations, the description is grossly incomplete. It omits information about output format, error handling, supported input types, and the meaning of the 'quantity' parameter. An agent cannot reliably use this tool without further clarification.

    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?

    Schema coverage is 100% but the description adds no meaning beyond the schema. Moreover, the 'quantity' parameter's description ('Number of transcripts to return') is confusingly unrelated to image compression, and the description does nothing to clarify this mismatch. Baseline 3 is reduced because the description fails to add value or resolve ambiguity.

    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 'Compress' and the resource 'an image', which is clear and specific. It is not a tautology and distinguishes the tool's core action. However, it lacks details on supported formats or output behavior, so not a 5.

    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, prerequisites, or alternatives. The description simply states what it does without any context for appropriate usage scenarios.

    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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