everything-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Each tool has a clearly distinct purpose: searching, retrieving file attributes, checking version, and checking service status. There is no overlap between them, so an agent can easily select the right one.
Naming Consistency4/5All tools share the 'everything_' prefix and use snake_case, but the second part mixes nouns (file_info, version, status) and a verb (search). This is a minor deviation from a strict verb_noun pattern but remains predictable and readable.
Tool Count5/5With 4 tools, the server is well-scoped for interacting with the Everything search engine. Each tool covers a necessary aspect without redundancy or bloat.
Completeness4/5The tool surface covers the core functionality: searching, getting file metadata, and checking the engine's operational state. Minor gaps like advanced query analysis or database statistics exist but are not essential for basic usage.
Average 4.1/5 across 4 of 4 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.
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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 indicates the type of data returned (Windows attributes, run count) and the need for a path, but it does not disclose potential errors, permission requirements, whether the tool is a safe read-only operation, or dependencies like the Everything service running. This is a minimal but not fully transparent disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that front-loads the action and key details (what it gets, for which path, using which tool). There is no wasted words or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has low complexity (one parameter, no output schema, no annotations). The description explains the purpose and hints at the output content ('Windows attributes, run count') but does not specify the output format or behavior on invalid inputs. Given the lack of output schema, a slightly richer description would improve completeness, but it is adequate for a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already provides a complete description for the single parameter 'path' ('Full path to the file or folder'), so the baseline is 3. The tool description adds no extra semantic detail about the parameter beyond what the schema contains.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Get file attributes' for 'a specific file path.' It also lists the types of information included ('Windows attributes, run count') and mentions the tool's context ('using Everything'), which clearly distinguishes it from sibling tools like everything_search (search for files) and everything_version (version info).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage: when you need file attributes for a given path. It does not explicitly state when to prefer this tool over siblings, nor does it provide exclusions or alternative recommendations. The context is clear but not elaborated.
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?
With no annotations, the description carries full behavioral burden. It states the core behavior (status check) but does not disclose whether the tool starts the engine, the return format, or side effects. Given the simplicity of a status check, some might expect a boolean or status object, but that is not explicitly conveyed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no fluff. It immediately states the action and subject, making it easy to parse. Every word carries meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (no parameters, no output schema). However, since no output schema exists, the description should explain what the return value is, but it does not. For a status check, knowing whether it returns a boolean, a status object, or a string is important for downstream use. The description is adequate for selection but not fully complete for invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline is 4. The description adds no parameter details because none exist. The empty schema is fully consistent, and the description does not need to compensate for undocumented parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks whether the Everything search engine is running and its database is loaded. The verb 'Check' and specific resources ('running', 'database loaded') distinguish it from siblings like everything_search (searching) and everything_version (version info).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies this is a pre-flight check before using other Everything tools, but it does not explicitly say when to use it or mention alternatives. There is no exclusion or comparison to siblings, so the usage context is only implied.
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?
With no annotations, the description carries the full burden. It thoroughly explains query syntax and filtering behavior (wildcards, operators, filters), but does not explicitly state that the operation is read-only, nor describe the return format or error handling. This is a moderate gap for a search tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the main purpose, followed by a well-organized, concise syntax reference. Every line adds value, and the structure uses clear separators and examples. It is appropriately sized for a tool with complex query syntax.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is rich in query syntax but lacks details about the return format (list of paths?), pagination behavior, or how results integrate with sibling tools like everything_file_info. With no output schema, this is a notable gap. However, the heuristic nature of search results is implied.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does 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 meaningful context for the 'query' parameter by providing extensive syntax examples and explanation of operators, which goes beyond the schema's simple 'Search query using Everything search syntax.' Other parameters rely on schema descriptions, which are clear.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Search for files and folders on Windows using Everything.' This is a specific verb ('Search') with a clear resource ('files and folders') and platform, distinguishing it from siblings like file_info, version, and status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description sets clear context that this tool is for searching using Everything's syntax. It does not explicitly mention alternatives or when-not-to-use, but the extensive syntax guide implies appropriate usage patterns. Given the sibling tools are clearly non-search operations, the context is sufficient.
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?
No annotations are provided, so the description carries the full burden. The verb 'Get' and the resource clearly indicate a read-only retrieval operation with no side effects. For a simple version check, this is sufficiently transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no extraneous words. Every word earns its place, conveying the exact purpose without fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no annotations, no output schema), the description fully specifies what it does. The lack of return format is acceptable because the tool's output is self-evident and the description is complete for its intended use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the empty schema is fully covered. Per the rule, a baseline of 4 is appropriate since there are no parameter details to describe.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb ('Get') and identifies the exact resource ('version information of the running Everything search engine'). This distinguishes it from sibling tools like everything_search and everything_status.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies the tool is used when version information is needed. However, it does not explicitly mention alternatives or provide exclusions, though the sibling tools are clearly distinct in purpose.
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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