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Server Quality Checklist

67%
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  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose: search_loc for searching, snippets_loc for showing context, and get_loc_text for full text. No overlap in functionality.

    Naming Consistency4/5

    Tool names follow a consistent snake_case pattern with '_loc' suffix, though 'get_loc_text' deviates slightly from the verb_noun convention of the others. Still clear and predictable.

    Tool Count5/5

    Three tools is well-scoped for searching and retrieving text from the Library of Congress. Each tool serves a necessary step in the workflow without redundancy.

    Completeness5/5

    The tool set covers the full search-to-retrieval pipeline: search, context snippet, and full text download. No obvious gaps for the stated domain.

  • Average 4.3/5 across 3 of 3 tools scored.

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

    • No community issues in the last 6 months
    • 7 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 Apache 2.0.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

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      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
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      ]
    }

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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 full burden. It discloses that output includes matched terms in braces, surrounding sentences, and a citation URL, providing a good mental model for the tool's behavior.

    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 with three sentences, each earning its place: purpose, usage context, and a clear limitation. Front-loaded with key action.

    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 (2 required params, full schema coverage, output schema present), the description adequately covers what, when, and how. Minor gap: no mention of error handling or edge cases, but not critical for this 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%, so baseline is 3. The description does not add significant detail beyond the existing schema descriptions for 'reference' and 'query', thus meeting but not exceeding expectations.

    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 'Show a query in context on one page' with specific verb and resource. It distinguishes itself from siblings by noting it's a cheap way to judge results without downloading, and explicitly excludes whole items, clarifying its scope.

    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 by stating it's 'the cheap way to judge a search result without downloading it' and explicitly notes 'not for a whole item.' While sibling tools are not named, the guidance is sufficient to differentiate scenarios.

    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 provides good transparency about search behavior, query limitations (stripping of boolean operators), and result format (individual pages with reference). It does not disclose rate limits or authentication but these are common for search APIs.

    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 moderately concise with each sentence providing distinct information. It is front-loaded with the main purpose and organized logically, though a bit lengthy. Could be tightened without losing clarity.

    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 presence of an output schema, the description need not detail return values. It covers the tool's scope, query behavior, and result usage with siblings, leaving some aspects like error handling unaddressed but adequate for a search tool.

    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 significant value beyond the schema by detailing query syntax (ANDing, exact phrases, ignored operators) and clarifying the page parameter's role and 1-indexing.

    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 searches the Library of Congress full text, covering multiple collections and time periods. It also distinguishes from sibling tools by explaining how results connect to snippets_loc and get_loc_text.

    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 explains query syntax (AND, quoted phrases, no boolean operators) and result structure, effectively guiding when and how to use the tool. However, it lacks explicit 'when not to use' guidance and could mention alternative tools for boolean searches.

    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?

    Since no annotations are provided, the description carries full burden. It discloses the key behavior: the tool returns a path to a cached file (not the text inline) and mentions hyphenation rejoining. However, it does not explicitly state that the operation is read-only or non-destructive, nor does it describe any side effects like caching behavior or file lifetime. Still, it provides meaningful behavioral context beyond a simple 'download text'.

    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 only two sentences, each earning its place. The first sentence states the core function, the second provides usage guidance. No wasted words, and the structure is front-loaded with the most important information.

    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 tool's simplicity (single parameter, output schema present), the description covers the essential usage context and behavioral details. It explains what the tool does, when to use it, and a key processing detail (hyphenation). The only minor gap is that it doesn't describe the cached file's format or the path location, but the presence of an output schema likely covers that. Overall, it is sufficiently complete for this 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?

    The input schema has 100% description coverage for the single parameter 'reference'. The tool description does not add any additional meaning beyond the schema's description ('Page reference, as returned by `search_loc`'). Baseline score of 3 applies because schema already adequately documents the parameter.

    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 uses a specific verb ('Download') and resource ('page's OCR text') and clearly states the return value ('path to the cached file'). It also distinguishes from siblings by contrasting with 'snippets' and mentioning 'grepping', which is not possible with snippets_loc.

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

    Usage Guidelines5/5

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

    The description explicitly states when to use this tool: 'Use when snippets are not enough and the whole page has to be read or grepped.' This gives clear guidance and implies the alternative (snippets_loc) is for partial text. It also mentions hyphenation rejoining, which helps the user understand the output's behavior.

    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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