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micfogas

Pic Nicked MCP

by micfogas
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Server Quality Checklist

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

  • Latest release: v1.0.2

  • Disambiguation5/5

    search_image and persist_image have completely distinct purposes: one looks up images online, the other saves a specific image locally. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    Both tools follow the exact same verb_noun pattern with snake_case (search_image, persist_image), making the naming predictable and consistent.

    Tool Count3/5

    With only 2 tools, the server feels minimal and is on the thin side. The count is acceptable if the scope is strictly search-and-save, but it is borderline for a utility server.

    Completeness3/5

    The core operations (search and persist) are covered, but there is no way to list, delete, or otherwise manage persisted images. This is a notable gap in the image lifecycle, making the surface feel incomplete.

  • Average 3.3/5 across 2 of 2 tools scored. Lowest: 2.5/5.

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

    • No community issues in the last 6 months
    • 5 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.

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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 the full burden of behavioral disclosure. It does not mention safe search settings, pagination, result limits, or any side effects. The agent is left unaware of how the search behaves or what the response contains.

    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 a single short sentence with no wasted words. It is front-loaded with the core action, but it is too sparse to be truly helpful, making it concise but under-specified.

    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 tool has 4 parameters and no output schema, the description is severely incomplete. It fails to mention the result format, pagination behavior, or safe search implications, leaving critical gaps for an agent to invoke and interpret the tool correctly.

    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 input schema fully documents all parameters. The description adds no semantic detail beyond the schema, but the baseline of 3 applies because the schema carries the burden effectively.

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

    Purpose3/5

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

    The description 'Search the image(s) online' identifies a clear verb and resource, but it is vague about the scope and output. It does not differentiate from the sibling tool 'persist_image' beyond the search action, and 'online' adds little specificity.

    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?

    There is no guidance on when to use this tool versus alternatives. The sibling 'persist_image' exists, but the description does not mention any selection criteria or exclusions, leaving the agent without context for choosing this tool.

    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?

    Without annotations, the description carries the full burden. It discloses a key behavior (auto-creation of targetPath), but does not mention what happens if the file already exists (overwrite?) or what occurs if the URL is invalid. This leaves important side effects unspecified.

    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 sentences, zero waste. The key information is front-loaded, and the conditional behavior follows naturally. No redundancy or filler.

    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 covers the core operation and auto-creation, but omits details about how the image file is named (e.g., derived from URL) and potential error handling. Given the tool's simplicity and full schema coverage, these gaps could mislead an agent about the exact output.

    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%, so baseline is 3. The description adds value beyond the schema by explicitly stating that targetPath need not pre-exist and will be created automatically. This clarifies the parameter's semantics beyond the schema's 'Folder where to save the image'.

    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 ('Store image at URL') and the destination ('folder relative to current workspace'), making the tool's purpose unambiguous. It distinguishes from sibling 'search_image' by focusing on persistence rather than discovery.

    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: it saves an image to a workspace-relative folder and automatically creates the target directory if missing. It does not explicitly mention alternatives or exclusions, but the 'relative to current workspace' and 'auto-create' instructions provide sufficient usage context for most cases.

    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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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.

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