mcp-curl-downloader
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
There is only one tool, so there is zero ambiguity between tools. The tool has a single, clearly defined purpose: downloading files from a URL.
Naming Consistency3/5With only one tool, there is no pattern to evaluate for consistency. The name 'download_file' uses a reasonable verb_noun convention, but a single tool doesn't demonstrate any naming system.
Tool Count2/5A single tool feels thin for a downloader server. The downloader domain could reasonably include tools like list_directory, delete_file, or check_file_status to provide a more complete surface, though a minimalist download-only server is defensible.
Completeness2/5The tool covers download functionality well, but represents a dead-end surface. There is no way to check whether a download succeeded (no status/history), no way to remove downloaded files, or resolve/validate URLs before downloading. Agents hit a hard wall after invoking download_file.
Average 4.5/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 2 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.
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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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It does this well, disclosing streaming behavior (no memory pressure), auto-filename detection, parent directory creation, configurable timeout/size limits, and safe filename sanitization. It also covers overwrite semantics. This is rich, useful behavioral context that goes beyond what the schema conveys.
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 well-structured with feature bullets and three concrete examples. Every bullet adds distinct value and the examples illustrate real usage patterns with different parameter combinations. No filler or redundancy.
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?
The tool is moderately complex with nested headers object, dest_path ambiguity (directory vs full file path), and filename/path resolution logic. The description thoroughly explains the dest_path semantics (directory vs file, auto-detection), filename behavior, and header usage. Schema coverage is 100% and the description complements rather than repeats it. No output schema exists, but the description adds enough context about the tool's behavior to make the agent confident about invocation and expected semantics.
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 value by clarifying dest_path's dual behavior (directory vs full file path), showing how filename interacts with directory dest_path, and demonstrating headers usage with a real Authorization example. The distinction between directory and file dest_path behavior is the key semantic insight that the schema hint at but the description makes explicit.
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 opens with a specific verb+resource: 'Download a file from a URL to a local directory or file path.' This clearly states the action and the input/output resources. The feature list distinguishes this from a generic fetch/curl-style operation by highlighting streaming, auto-naming, directory creation, and sanitization. No sibling tools exist to differentiate from, but the purpose is unambiguous and well-scoped.
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 gives clear context for when to use the tool through examples covering three common scenarios (simple download, custom destination name, authenticated requests). While it doesn't explicitly state when NOT to use it or name alternatives (no siblings exist), the examples and features make intended usage patterns apparent. The overwrite behavior and timeout/size limits give practical operational guidance that helps an agent reason about constraints.
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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- Evaluate tool definition quality.
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