Skip to main content
Glama
Zulelee

test-files-mcp

by Zulelee

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v0.1.0

  • Disambiguation5/5

    Each tool targets a distinct test fixture type (file, image, pdf, csv, json, archive, audio, corrupted, edge-case filename, inspect). The only potential overlap is create_dummy_file_tool vs create_corrupted_file_tool, but corrupted files are specifically for error handling while dummy files are for size/content testing, so they serve different purposes.

    Naming Consistency5/5

    All tool names follow the same pattern: create_<type>_tool for generation, with create_corrupted_file_tool and create_edge_case_filename_tool being exceptions that also start with create for generation, and inspect_file_tool for inspection. The naming is internally consistent with a clear verb (create/inspect) + noun (type) + tool structure.

    Tool Count5/5

    10 tools is well-scoped for a test fixture generation server. Each tool addresses a different file format or test scenario, covering common testing needs without excess. The count is within the optimal range and each tool adds clear value.

    Completeness4/5

    The server covers a comprehensive set of common test file types (image, PDF, CSV, JSON, ZIP, WAV), plus edge cases like corrupted files and unusual filenames, with an inspection tool for verification. Potential gaps include other common formats (e.g., video, XML, binary formats) and operations like deleting or resetting generated files, but the core surface is fairly complete for a focused purpose.

  • Average 3.5/5 across 10 of 10 tools scored.

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

    • No community issues in the last 6 months
    • 4 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.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

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?

    No annotations are provided. The description discloses only that a filename is produced, not the return value. The overwrite parameter appears in the schema but not in the description, revealing possible overwriting behavior.

    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 compact list of cases and a one-line purpose statement. It takes minimal space and every sentence contributes.

    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?

    An output schema lists the generated filename but no return semantics, limitations, and behavior are documented in the description. An output directory parameter is allowed as null. Sibling tools of similar function include seven alternatives, but the description does not discuss side effects, permissions, or postconditions.

    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?

    The input schema documents all 5 parameters with titles and defaults, but the description does not explain any of them. Schema coverage is 0%, and the 'cases' line names the categories but not exact semantics, so parameter meaning is largely left to the schema.

    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 clearly states that the tool generates a file with an edge-case filename for upload/path testing, using a specific verb ('Generate') and resource ('file'). It includes a list of edge cases, though it does not explicitly distinguish itself from sibling file-creation tools.

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

    Usage Guidelines3/5

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

    The description lists the relevant edge-case categories and mentions upload/path testing, but it does not state when to choose this tool over the sibling file-creation tools, or note exclusion criteria.

    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 provided, the description carries the full burden and does add value by asserting 'Never modifies the original' and illustrating corruption types. However, it omits details such as file naming, output location, permissions, or any side effects beyond creating the corrupted copy.

    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 compact and front-loaded, with the most important guarantee stated first. The example list is useful but could be clearer (e.g., 'corrupted JPEG' is vague, and there's minor formatting corruption), though it does not waste words.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    The tool has eight parameters, no required fields, no enums, and an output schema, but the description leaves parameter semantics entirely unexplained. While the output schema may cover return values, the description inadequately addresses the complexity of configuring corruption, making it incomplete for a tool of this scope.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters1/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 0%, so the description must compensate, but it does not explain any of the eight parameters. The examples loosely relate to file_type and corruption types, but the user receives no guidance on how to set seed, severity, overwrite, or output_directory.

    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+resource construction ('Create a corrupted copy of a file') and clearly states the tool's purpose of testing error handling. It differentiates from sibling tools by emphasizing the corrupted-copy behavior and explicitly guarantees the original file is never modified.

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

    Usage Guidelines3/5

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

    The phrase 'for testing error handling' implies the recommended use case, and the examples suggest scenarios involving file types and corruption. However, it does not explicitly enumerate when to use this tool versus siblings like create_dummy_file_tool, nor does it state exclusions.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

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

    No annotations are provided, so the description carries full burden for behavioral disclosure. It discloses file generation behavior and malformed output capability, but it doesn't mention whether files are written to disk (though output_directory and filename parameters imply this), what happens on overwrite, or any side effects. The description doesn't cover permission needs, error behavior, or how output is returned, which is a notable gap for a generation tool. With no annotations, this falls short.

    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 concise: two sentences plus a short example line. It front-loads the primary purpose and then provides the key usage nuance (malformed flag). The example is helpful but could be more structured; overall it earns its place with minimal waste.

    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 tool has 8 parameters, 0% schema description coverage, and an output schema exists (though not provided). The description is sparse relative to the tool's complexity. It lacks details on how parameters like depth, items, seed, and pretty affect the output, and doesn't explain the behavior of filename, output_directory, or overwrite. Output schema may cover return values, but the description doesn't guide users on parameter interplay. It's minimally viable but has clear gaps.

    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 0% since the description doesn't mention any parameter names, but the description does explain the 'malformed' parameter's purpose ('Set malformed=true for intentionally invalid JSON'). However, it doesn't add meaning for the other seven parameters (seed, depth, items, pretty, filename, overwrite, output_directory). Baseline is 3 because schema coverage is low (<50%), but the description only compensates for one parameter, so a 3 is appropriate.

    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 clearly states 'Generate a JSON test fixture' using a specific verb and resource, and distinguishes from sibling tools by focusing on JSON generation. It mentions malformed JSON support, which is a key differentiator from other create_*_tool siblings, though it doesn't name alternatives explicitly.

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

    Usage Guidelines3/5

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

    The description gives a brief example of valid vs malformed usage ('valid JSON array, malformed JSON with trailing comma or missing bracket'), which implies when to use the malformed flag. However, it doesn't provide explicit context for when to use this tool over siblings like create_dummy_file_tool or create_corrupted_file_tool, nor any exclusions.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

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

    There are no annotations clarifying side effects. The description only says 'generate' without disclosing whether files are written to disk, whether existing files are overwritten, or if any system modifications occur. The presence of parameters like 'overwrite' and 'output_directory' is not reflected in the description, leaving behavioral aspects opaque.

    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 highly concise, comprising one sentence plus examples. It conveys the core function without unnecessary detail or redundancy, making it easy to read and understand.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    The description is minimal and does not cover the full scope of the tool's capabilities. It omits explanations of key parameters, the meaning of 'test fixture', the output behavior, and any prerequisites. Given the 8-parameter schema and potential for file system interactions, the description leaves significant gaps for the user.

    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 description offers some hints about parameters via examples (pages, text, size), which partially aligns with schema fields like 'pages', 'text_per_page', and 'target_size_mb'. However, it does not explicitly map parameters or explain their meanings, leaving many fields (e.g., 'filename', 'overwrite', 'page_size') unaddressed.

    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: generating a PDF test fixture with a specified number of pages. The examples (100 blank pages, 200-page PDF with sample text, ~30 MB PDF) provide concrete illustrations that reinforce the primary function and distinguish it from sibling tools like create_image_tool or create_dummy_file_tool.

    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?

    The description does not explicitly indicate when to use this tool over alternatives. It implies usage for creating PDF test fixtures, but lacks guidance on scenarios where other file-creation tools might be more appropriate. No mention of when not to use it is provided.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

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

    No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Generate a WAV audio test fixture' without explaining file creation side effects, overwrite behavior, output directory handling, or what happens on error. The examples hint at parameters but not operational 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—two sentences total—with the second sentence providing illustrative examples without wasteful text. It is front-loaded with the core purpose and uses examples efficiently.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool has 8 parameters, no annotations, and 0% schema description coverage, a two-sentence description is not enough. It fails to mention key parameters like output_directory, overwrite, channels, and sample_rate, leaving the agent to guess at their meaning and interaction. The examples cover only two scenarios.

    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 description coverage is 0%, so the description must compensate for 8 parameters. It only illustrates silence and tone_hz via examples, leaving channels, sample_rate, output_directory, overwrite, filename, and duration_seconds without semantic explanation beyond their names and defaults. This is insufficient for a tool with many tunable parameters.

    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 'Generate a WAV audio test fixture,' specifying the verb, resource, and format. The examples ('30-second silent WAV, 5-second 440 Hz tone') further clarify scope and distinguish it from sibling file-creation tools like create_image_tool or create_pdf_tool.

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

    Usage Guidelines3/5

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

    The description provides examples of typical usage ('30-second silent WAV, 5-second 440 Hz tone') but does not explicitly state when to use this tool versus alternatives, nor any exclusions or prerequisites. Context is implied by the tool name and sibling set, but no direct guidance is given on tool selection.

    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 provided, the description carries the behavioral disclosure burden. It does disclose that output is streamed to disk and that row counts are subject to configured limits, but it omits details about overwrite behavior, file naming/location, or failure behavior when limits are exceeded.

    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 compact and front-loaded: the first sentence states purpose and key behavior, and the second sentence gives useful scale examples. It is free of fluff, though it could have used the space to cover more of the 10 parameters.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a tool with 10 optional parameters, no annotations, and zero schema descriptions, the description is far too sparse. It does not explain how parameters interact (e.g., custom headers vs. column count), what the output schema contains, or what happens when overwrite=false and the file exists.

    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 description coverage is 0% for 10 parameters, yet the description only adds meaning to the 'rows' parameter via examples. Other parameters like seed, columns, headers, encoding, delimiter, overwrite, include_header, and output_directory receive no explanation or relationship context.

    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 opens with a specific verb ('Generate'), a precise resource ('CSV test fixture'), and a key implementation detail ('synthetic data, streamed to disk'). This clearly distinguishes it from sibling tools like create_json_tool or create_pdf_tool, which target different file formats.

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

    Usage Guidelines3/5

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

    The description implies usage for CSV fixture generation, especially with the row-size examples (0, 100k, 1M rows). However, it never explicitly states when to prefer this over generic alternatives such as create_dummy_file_tool, nor does it mention when not to use it.

    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 of behavioral disclosure. It mentions generation of ZIP archives with configurable options (empty, files, nested) but does not explicitly state side effects like file creation on disk or whether the tool writes to a directory. However, the output schema exists, and the parameter names (output_directory, overwrite) imply file creation. The description is honest and covers key behaviors like creating archives with examples, but lacks explicit details on destructive actions (overwrite) or file system changes.

    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 short and front-loaded with the core purpose. The two examples are concise and add value. However, it could be slightly more structured with parameter explanations, but given its brevity, it earns high marks for not wasting words. The examples are helpful but could be more explicit.

    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?

    Given the tool has 9 parameters, an output schema, and is a test fixture generator, the description is somewhat minimal. It doesn't explain parameter semantics, return behavior, or edge cases. The output schema exists but the description would benefit from covering parameter interplay (e.g., empty vs files, nested meaning). It is functional but leaves the agent to infer many details, making it adequate but not complete.

    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 0%, meaning the description does not explain any parameters. The description only mentions 'empty', 'files', 'nested' through examples, but no parameter details. With 9 parameters and zero coverage, the description fails to compensate. The baseline would be 3 because the schema has defaults and types, but the description adds no semantic value beyond a few examples. It does not explain what 'seed', 'compression', 'file_size_kb', or 'output_directory' mean.

    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 clearly states the tool generates a ZIP archive test fixture, with a specific verb (generate) and resource (ZIP archive test fixture). It provides examples of usage (empty ZIP, zip with 100 files, nested directory structure) that help distinguish it from sibling tools that create other file types (dummy, image, pdf, etc.). However, it doesn't explicitly compare with the sibling create_archive_tool vs others that might also create archives, but the name and examples suffice.

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

    Usage Guidelines3/5

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

    The description implies usage for creating test ZIP archives but offers no explicit guidance on when to use this tool vs alternatives like create_corrupted_file_tool or create_edge_case_filename_tool. Examples give context for typical use cases (empty, many files, nested structure) but don't state when not to use it. The sibling tools are clear alternatives for other file types, but no direct comparison is provided.

    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 provided, the description carries the burden of behavioral transparency. It does mention that content can be random bytes, zeros, or repeating text, which gives insight into output. However, it does not disclose potential side effects (e.g., if overwrite=true will overwrite an existing file), file system location, or whether there are limits on file size. The description is honest but not exhaustive about behavior.

    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 succinct and front-loaded with a clear purpose. It uses bullet-point-like examples and a brief note on content types. It is efficient but could benefit from a brief note on parameter usage without becoming verbose. Overall, it is well-structured and easy to scan.

    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?

    Given the tool has 8 parameters and no annotations, the description is not fully complete. It doesn't explain the output schema (which might indicate the created file path), nor does it clarify parameter precedence or limits. The sibling tools suggest a family of file-creation tools, so the context is partially understood, but for a complex tool with many optional parameters, more detail is needed.

    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 schema has 8 parameters with 0% description coverage, and the description does not explain each parameter individually. The description mentions 'size' and 'content' but does not clarify how size_kb, size_mb, size_bytes interact or which takes precedence. It also does not explain 'seed' or 'overwrite'. Since schema coverage is 0%, the description must compensate, but it only provides high-level hints about size and content, leaving many parameters ambiguous.

    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 creates a dummy file of a requested size for testing file-handling code. It explicitly mentions the purpose (testing uploads, storage limits, validators, APIs) and provides examples of sizes. This distinguishes it from sibling tools like create_image_tool or create_corrupted_file_tool, which have different outputs.

    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 indicates when to use this tool: for testing file uploads, storage limits, validators, APIs, and other file-handling code. It also provides examples of sizes and content types. However, it does not explicitly state when not to use it or mention alternatives (e.g., for creating a specific file type like image or PDF, use those dedicated tools). The context is clear but lacks explicit exclusions.

    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 burden. It mentions writable properties (filename, output directory) and an overwrite flag, implying file creation behavior, but does not disclose side effects like whether files are saved to disk, what happens on existing files, or any error conditions.

    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 concise, well-structured, and includes practical examples (e.g., '8000x8000 JPEG', 'approximately 20 MB JPEG'). It immediately conveys the tool's purpose without unnecessary verbosity.

    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 sibling tools are other file creators (CSV, PDF, etc.), the description clearly positions this as the image-generation option. It provides enough context for an agent to select it when a test image is needed, though it lacks explicit instructions on when not to use it or alternatives.

    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 description names key parameters (dimensions, patterns, target size) but does not explain the meaning of all 12 parameters, such as background color format, or the relationship between target_size_kb and target_size_mb (e.g., precedence). Parameter names are somewhat self-explanatory, but the schema lacks descriptions and enums.

    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 generates test images with configurable dimensions, patterns, and target file sizes, explicitly naming supported formats (JPEG, PNG, BMP) and providing examples. This distinguishes it from sibling tools for PDFs, CSV, etc.

    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?

    It implies usage for creating test images but does not explicitly state when to use this tool over alternatives or when not to use it. The context of sibling file creation tools makes the use case clear, but no explicit exclusions or alternatives are mentioned.

    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 carries the full burden. 'Inspect' and 'return metadata' convey a read-only operation and specify the expected output. It does not detail error behavior (e.g., missing file) or path validation, but the core behavior is transparent enough.

    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 a single sentence that front-loads the action, resource, and output examples. Every word earns its place; there is no redundancy or filler.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness5/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a one-parameter read-only tool with an output schema present, the description sufficiently covers what the tool does, what it operates on, and what it returns. No additional context is needed for an agent to safely invoke it.

    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 schema has only 'path' with no description, and schema description coverage is 0%. The description adds that the path refers to a 'generated test file', which is useful, but it does not specify path format, absolute/relative requirements, or file type limitations. Coverage is only partially compensated.

    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 'Inspect' and identifies the resource as 'generated test file', clearly distinct from the sibling create_* tools. It also lists concrete metadata fields returned (size, MIME type, SHA256), making the purpose unambiguous.

    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 context is clear: this tool is for inspecting generated test files, which are created by the sibling tools. It does not explicitly list exclusions or alternative tools, but the distinction from creation tools is self-evident, providing adequate usage guidance.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

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.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

test-files-mcp MCP server

Copy to your README.md:

Score Badge

test-files-mcp MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Zulelee/test-files-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server