Curl MCP Server

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool has a clearly distinct purpose based on HTTP methods or specific actions: curl_get, curl_post, curl_put, and curl_delete cover standard HTTP operations, curl_download is for file downloads, and curl_advanced handles custom arguments. There is no overlap or ambiguity between these tools.
Naming Consistency5/5
All tool names follow a consistent 'curl_' prefix with a descriptive suffix (e.g., get, post, download, advanced), using snake_case uniformly. This pattern is predictable and easy to understand across the entire set.
Tool Count5/5
With 6 tools, this server is well-scoped for its purpose of executing curl commands. It covers essential HTTP methods (GET, POST, PUT, DELETE), a file download function, and an advanced custom option, providing a complete yet manageable set without unnecessary bloat.
Completeness5/5
The tool set offers complete coverage for the domain of curl-based HTTP operations: it includes all major HTTP methods (GET, POST, PUT, DELETE), a dedicated download tool, and an advanced tool for custom use cases. There are no obvious gaps, and agents can handle typical HTTP workflows effectively.
Average 2.8/5 across 6 of 6 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 0 of 1 community issues answered or closed 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
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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

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. The description only states it executes curl with custom arguments, lacking details on permissions, error handling, output format, or side effects (e.g., whether it makes network calls, has rate limits, or requires authentication). This is inadequate for a tool that likely performs external operations.
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 a single sentence that directly states the tool's function. It is front-loaded and wastes no words, making it easy to parse quickly.
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 complexity of executing curl commands (which can involve network operations, various arguments, and potential side effects), the description is incomplete. With no annotations, no output schema, and minimal behavioral details, it fails to provide sufficient context for safe and effective use, especially compared to more specific sibling tools.
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 description coverage is 100%, with the single parameter 'args' documented as 'Array of curl arguments (excluding 'curl' itself)'. The description adds minimal value beyond this, only implying that arguments are custom and for advanced usage, without explaining syntax or examples. Baseline 3 is appropriate since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Execute curl with custom arguments (advanced usage)' states the action (execute curl) and resource (custom arguments), but is vague about what 'advanced usage' entails. It doesn't clearly distinguish this tool from its siblings like curl_get or curl_post, which likely handle specific HTTP methods, while this one appears to be a generic wrapper.
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 provides no guidance on when to use this tool versus alternatives. It mentions 'advanced usage' but doesn't specify what makes it advanced or when it's preferred over the sibling tools (curl_get, curl_post, etc.). There are no explicit when/when-not instructions or named alternatives.
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. 'Download a file using curl' implies a read operation, but it doesn't specify authentication needs, rate limits, error handling, or what happens on failure (e.g., partial downloads). It mentions curl but doesn't explain curl-specific behaviors like default options or security implications.
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, efficient sentence with no wasted words. It's front-loaded with the core action and method, making it easy to parse quickly. Every word earns its place by conveying essential information.
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 5 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain return values, error cases, or behavioral nuances like how output_filename interacts with remote filenames. Given the complexity and lack of structured data, more context is needed 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?
Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no parameter-specific information beyond what's in the schema, such as examples or constraints. With high schema coverage, the baseline is 3, as the description doesn't compensate but also doesn't detract.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Download a file using curl' clearly states the action (download) and resource (file), but it's vague about scope and doesn't differentiate from sibling tools like curl_get or curl_advanced. It specifies the method (curl) but lacks details about what kind of files or protocols are supported.
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?
No guidance is provided on when to use this tool versus alternatives like curl_get or curl_advanced. The description doesn't mention prerequisites, exclusions, or specific contexts for use, leaving the agent to infer usage from the tool name alone.
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?
With no annotations provided, the description carries the full burden of behavioral disclosure but only states the basic action. It doesn't mention potential side effects (e.g., resource deletion), error handling, rate limits, or authentication requirements, which are critical for a destructive operation like DELETE. This leaves significant gaps in understanding 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 a single, direct sentence with zero waste—it states exactly what the tool does without unnecessary words. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.
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 complexity of an HTTP DELETE operation (a potentially destructive action) and the lack of annotations and output schema, the description is incomplete. It fails to address key aspects like what the tool returns, error conditions, or safety considerations, which are essential for proper tool invocation in this context.
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 description coverage is 100%, so all parameters are documented in the schema. The description adds no additional meaning about parameters beyond what the schema provides, such as examples or constraints. This meets the baseline for high schema coverage but doesn't enhance parameter understanding.
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 action ('Make an HTTP DELETE request') and the method ('using curl'), which is specific and unambiguous. However, it doesn't distinguish this tool from its sibling tools (curl_get, curl_post, etc.) beyond the HTTP method, missing explicit differentiation.
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 provides no guidance on when to use this tool versus alternatives like curl_advanced or other HTTP method-specific tools. It lacks context about scenarios where DELETE is appropriate or prerequisites such as authentication needs, leaving the agent to infer usage from the name alone.
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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the action but fails to describe key traits like error handling, response format, authentication needs, or rate limits. This leaves significant gaps for an agent to understand how the tool behaves beyond the basic operation.
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, clear sentence that efficiently conveys the core purpose without unnecessary words. It is front-loaded and appropriately sized, making it easy to parse quickly.
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 complexity of HTTP requests and the lack of annotations and output schema, the description is incomplete. It doesn't cover behavioral aspects like error handling or response details, which are crucial for an agent to use the tool effectively in varied contexts.
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 description coverage is 100%, so the schema fully documents all parameters. The description adds no additional meaning beyond what the schema provides, such as examples or context for parameter use. This meets the baseline for high schema coverage but doesn't enhance understanding.
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 action ('Make an HTTP GET request') and the method ('using curl'), which is specific and unambiguous. However, it doesn't distinguish this tool from its sibling tools like curl_post or curl_put beyond the HTTP method, missing explicit differentiation.
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 provides no guidance on when to use this tool versus alternatives, such as curl_advanced or other sibling tools. It lacks context about scenarios where a GET request is appropriate or when other methods might be better, offering no usage instructions.
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?
With no annotations provided, the description carries full burden but only states the basic action without disclosing behavioral traits. It doesn't mention error handling, authentication needs, rate limits, what happens with redirects (though the parameter hints at this), or response format expectations. For a tool with 7 parameters and no annotation coverage, this is a significant gap in behavioral context.
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, efficient sentence that directly states the tool's purpose with zero wasted words. It's appropriately sized and front-loaded, making it easy for an agent to quickly understand the core functionality without unnecessary elaboration.
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's complexity (7 parameters, no output schema, no annotations), the description is insufficiently complete. It doesn't address what the tool returns (no output schema means the description should hint at response format), error conditions, or practical usage scenarios. For a general-purpose HTTP tool with multiple configuration options, more context is needed to help the agent use it effectively.
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%, providing detailed parameter documentation. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain relationships between parameters like data vs json_data, or provide usage examples). With high schema coverage, the baseline of 3 is appropriate as the description doesn't compensate but doesn't need to given the comprehensive 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 'Make an HTTP POST request using curl' clearly states the action (POST request) and technology (curl), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like curl_put or curl_get, which would require mentioning it's specifically for POST method requests versus other HTTP methods.
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 provides no guidance on when to use this tool versus alternatives like curl_put or curl_get. There's no mention of POST-specific use cases (e.g., submitting form data, creating resources) or when other methods might be more appropriate, leaving the agent without contextual usage instructions.
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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the basic action but fails to describe critical traits like error handling, authentication needs, rate limits, or what the response might contain. This is inadequate for a tool that performs HTTP operations with multiple parameters.
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, efficient sentence that directly states the tool's purpose without any fluff. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.
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's complexity (7 parameters, no annotations, no output schema), the description is insufficient. It doesn't explain return values, error conditions, or behavioral nuances, leaving significant gaps for an agent to understand how to use the tool effectively beyond basic syntax.
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 description coverage is 100%, so the schema fully documents all 7 parameters. The description adds no additional meaning beyond what's in the schema, such as explaining parameter interactions (e.g., data vs. json_data). This meets the baseline for high schema coverage.
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 action ('Make an HTTP PUT request') and the method ('using curl'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like curl_post or curl_delete, which would require mentioning the HTTP method specificity.
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 provides no guidance on when to use this tool versus alternatives like curl_post or curl_advanced. It lacks context about typical PUT use cases (e.g., updating resources) or prerequisites, leaving the agent to infer usage from the tool name alone.
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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