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Parado-xy

Seroost Search MCP Server

by Parado-xy

Server Quality Checklist

58%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: seroost_set_index configures the directory, seroost_index builds the index, and seroost_search performs searches. The descriptions clearly differentiate the setup, indexing, and querying phases of the workflow, making misselection unlikely.

    Naming Consistency5/5

    All tool names follow a consistent 'seroost_' prefix with descriptive action-object patterns (set_index, index, search). The naming is uniform and predictable, using snake_case throughout without any deviations or mixed conventions.

    Tool Count5/5

    With 3 tools, the server is well-scoped for its purpose of code search indexing and querying. Each tool earns its place by covering essential steps: configuration, indexing, and searching, which is appropriate for a focused search functionality without unnecessary bloat.

    Completeness5/5

    The tool set provides complete coverage for the search domain, including configuration (set_index), index building (index), and querying (search). There are no obvious gaps—agents can fully manage the search workflow from setup to execution without dead ends.

  • 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
    • 0 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
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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

  • Behavior3/5

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

    With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: the search method ('semantic/fuzzy matching'), scope ('across the entire project including dependencies'), and output format ('ranked results with line numbers, file paths, and relevance scores'). However, it lacks details on potential limitations like rate limits, error handling, or performance implications, which are important for a search tool. The description adds value but does not fully cover all behavioral aspects.

    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 appropriately sized and front-loaded, with two sentences that efficiently convey the tool's purpose, behavior, and ideal usage without any wasted words. Every sentence earns its place by adding critical information, such as the search method and output details, making it highly concise and well-structured for quick understanding.

    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 complexity (a search operation with semantic/fuzzy matching), no annotations, and no output schema, the description does a good job of covering key aspects: purpose, usage, and behavioral traits. It explains the search scope and output format, which compensates for the lack of output schema. However, it could be more complete by addressing potential constraints like search limits or error cases, but overall it provides sufficient context for effective use.

    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, with the 'query' parameter well-documented in the schema itself. The description adds some semantic context by elaborating on what the query can include ('function names, variable names, code snippets, or natural language descriptions of functionality'), but this mostly reinforces the schema's description. Since the schema already does the heavy lifting, the description provides marginal additional value, meeting the baseline for high schema coverage.

    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's purpose with specific verbs ('Search through indexed codebase') and resources ('codebase'), distinguishing it from siblings like 'seroost_index' and 'seroost_set_index' by focusing on search rather than indexing operations. It explicitly mentions what it searches ('indexed codebase using semantic/fuzzy matching') and what it returns ('ranked results with line numbers, file paths, and relevance scores'), making the purpose highly specific and well-defined.

    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 context on when to use this tool ('Ideal for finding functions, classes, variable usage, or code patterns across the entire project including dependencies'), which helps guide usage. However, it does not explicitly state when not to use it or name alternatives among the sibling tools, such as clarifying if 'seroost_index' should be used first for indexing. This omission prevents a perfect score, but the guidance is still strong and actionable.

    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?

    No annotations are provided, so the description carries the full burden. It states the tool configures a directory for indexing, implying a write/mutation operation, but doesn't disclose behavioral details like whether this overwrites previous settings, requires specific permissions, or has side effects. The description adds basic context about the tool's role in the indexing process but lacks richer behavioral transparency.

    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, followed by a crucial usage guideline. Every sentence earns its place by providing essential information without redundancy or fluff, making it highly efficient and well-structured.

    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 moderate complexity (a configuration step with one parameter), no annotations, and no output schema, the description is largely complete. It explains the purpose, usage timing, and relationship to other tools. However, it could improve by mentioning what happens if called multiple times or error conditions, slightly reducing completeness.

    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 schema already fully documents the single 'path' parameter. The description adds no additional parameter semantics beyond what the schema provides (e.g., no extra syntax, format, or usage details), meeting the baseline score when schema coverage is high.

    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 specific action ('Configure the target directory') and resource ('Seroost indexing'), distinguishing it from sibling tools like 'seroost_index' (which presumably runs indexing) and 'seroost_search' (which searches the index). It explicitly defines the tool's role in setting the root path for indexing operations.

    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 provides explicit usage guidance: 'Must be called before indexing to specify which codebase directory to search.' This clearly indicates when to use this tool (as a prerequisite step) versus its siblings, establishing a workflow sequence without ambiguity.

    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 full burden and does well by disclosing key behavioral traits: it's a processing operation that creates a searchable index, has a prerequisite dependency on another tool, may have significant execution time for large inputs, and enables subsequent fast searches. It doesn't mention error conditions or specific performance characteristics, keeping it from a perfect score.

    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?

    Three well-structured sentences with zero waste: first states the core purpose, second explains the processing scope and output, third provides crucial usage guidance and performance context. Every sentence earns its place by adding distinct value.

    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 zero-parameter tool with no annotations or output schema, the description provides excellent context about purpose, prerequisites, behavioral characteristics, and relationship to siblings. It doesn't specify exact return values or error conditions, but given the tool's simplicity, this is reasonably complete.

    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?

    The tool has zero parameters with 100% schema description coverage, so the baseline would be 4. The description adds value by explaining that parameters come from 'previously configured directory path' set via 'seroost_set_index', providing important context about how configuration flows between tools.

    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 specific action ('Build the search index'), resource ('previously configured directory path'), and scope ('processes all files in the target directory'). It distinguishes from sibling tools by mentioning the prerequisite relationship with 'seroost_set_index' and contrasting with 'seroost_search' through its indexing function.

    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?

    Explicitly states when to use ('Must run after setting the index path with seroost_set_index') and provides context about alternatives by contrasting with 'seroost_search' (this tool builds the index while the sibling searches it). It also gives practical guidance about timing considerations ('may take time for large codebases').

    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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