MCP Server Reddit

Server Quality Checklist

Profile completionA complete profile improves this server's visibility in search results.

Latest release: v1.0.0
Disambiguation5/5
Every tool has a clearly distinct purpose with no ambiguity. The tools are organized by specific resources (frontpage, subreddit, post) and actions (get posts, get comments, get info), making it easy for an agent to select the right tool for each task without confusion.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, starting with 'get_' followed by a descriptive resource identifier. This predictable naming scheme enhances readability and usability across the entire tool set.
Tool Count5/5
With 8 tools, the server is well-scoped for its Reddit browsing purpose. Each tool earns its place by covering distinct aspects of Reddit content retrieval, from frontpage and subreddit posts to comments and subreddit information, without being overly sparse or bloated.
Completeness4/5
The tool set provides comprehensive coverage for browsing and retrieving Reddit content, including posts, comments, and subreddit info. A minor gap exists in the lack of write operations (e.g., posting or voting), but this is reasonable for a read-focused server, and agents can still perform core browsing workflows effectively.
Average 2.9/5 across 8 of 8 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- 2 of 4 community issues answered or closed 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 is passing
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.
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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?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool gets posts but doesn't mention whether this is a read-only operation, if it requires authentication, rate limits, pagination behavior, or what format the returned posts will have. For a tool that likely makes external API calls, this leaves significant behavioral gaps.
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 at just 5 words, front-loading the core purpose without any unnecessary elaboration. Every word earns its place by specifying what's being retrieved ('hot posts') and from where ('Reddit frontpage'). There's zero waste in this minimal but complete statement of function.
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 likely interacts with an external API (Reddit) and has no annotations or output schema, the description is insufficiently complete. It doesn't explain what 'hot' means algorithmically, whether results are personalized or global, authentication requirements, rate limits, or return format. For a tool with external dependencies and no structured behavioral hints, more context 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 description mentions no parameters, while the schema has 1 parameter with 100% coverage (including description, default, and constraints). Since schema_description_coverage is high (>80%), the baseline is 3 even without parameter information in the description. The description doesn't add meaning beyond what the schema already provides about the 'limit' parameter.
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 'Get hot posts from Reddit frontpage' clearly states the action (get) and resource (hot posts from Reddit frontpage), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_subreddit_hot_posts' or 'get_subreddit_top_posts', which could cause confusion about when to use this specific tool versus those alternatives.
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. With siblings like 'get_subreddit_hot_posts' and 'get_subreddit_top_posts' available, there's no indication whether this tool is for the aggregated frontpage versus specific subreddits, or what 'hot' means compared to 'top' or 'new' posts. The lack of context leaves usage decisions ambiguous.
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. 'Get comments from a post' implies a read-only operation, but it doesn't specify authentication needs, rate limits, pagination behavior, or error conditions. For a tool with no annotation coverage, this leaves significant gaps in understanding its operational characteristics.
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 zero wasted words. It's front-loaded with the core purpose and appropriately sized for a simple retrieval tool, 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 no annotations and no output schema, the description is incomplete for a tool that likely returns structured comment data. It doesn't explain what the return format looks like (e.g., list of comments with fields like author, text, timestamp), error handling, or any dependencies. For a retrieval tool with missing structured context, this is inadequate.
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%, with clear documentation for both parameters (post_id and limit with default and constraints). The description doesn't add any meaningful semantic context beyond what the schema already provides, such as explaining what constitutes a valid post_id or how comments are ordered. Baseline 3 is appropriate when the schema does the heavy lifting.
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 'Get comments from a post' clearly states the action (get) and resource (comments from a post), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get_post_content' which might also retrieve post-related data, so it's not fully distinctive.
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. With siblings like 'get_post_content' that might retrieve different aspects of a post, there's no indication of when comments are needed versus post content or how this differs from other comment-related tools that might exist in a broader context.
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 states 'Get detailed content' but doesn't clarify what 'detailed content' includes (e.g., post body, metadata, comments), whether it's a read-only operation, potential rate limits, or error handling. This is a significant gap for a tool with no annotation coverage.
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 purpose ('Get detailed content of a specific post'), making it easy to parse quickly. Every word earns its place, achieving optimal conciseness.
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 (a post retrieval tool with parameters for comments), no annotations, and no output schema, the description is incomplete. It doesn't explain what 'detailed content' entails, how comments are included, or the return format, leaving gaps that could hinder correct tool invocation by an AI agent.
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 three parameters (post_id, comment_limit, comment_depth) with descriptions, defaults, and constraints. The description adds no additional parameter semantics beyond what the schema provides, meeting the baseline score of 3 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 verb 'Get' and the resource 'detailed content of a specific post', making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_post_comments' or 'get_frontpage_posts', which might also retrieve post-related data, so it lacks sibling differentiation for a perfect score.
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 'get_post_comments' or 'get_frontpage_posts'. It doesn't mention prerequisites, exclusions, or specific contexts, leaving the agent with no usage instructions beyond the basic purpose.
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 offers minimal behavioral context. It doesn't mention whether this is a read-only operation (implied by 'Get'), rate limits, authentication requirements, or what the return format looks like (e.g., list of posts with titles, scores, etc.).
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 unnecessary words. It's perfectly front-loaded and wastes no space.
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 no annotations and no output schema, the description is insufficient. It doesn't explain what 'hot' means algorithmically, what data is returned, or any behavioral constraints. Given the context of multiple sibling tools with different sorting methods, more completeness 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 100% description coverage, providing clear documentation for both parameters. The description adds no additional parameter semantics beyond what's already in the schema, so it meets the baseline of 3 for adequate coverage without adding value.
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 ('Get') and resource ('hot posts from a specific subreddit'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from siblings like 'get_subreddit_new_posts' or 'get_subreddit_top_posts', which would require mentioning the 'hot' sorting algorithm specifically.
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. With siblings like 'get_subreddit_new_posts' and 'get_subreddit_top_posts' available, there's no indication that this tool retrieves posts sorted by Reddit's 'hot' algorithm rather than other sorting methods.
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 states the action but doesn't cover critical aspects like whether this is a read-only operation, potential rate limits, authentication needs, error conditions, or what specific information is returned (e.g., description, subscriber count). This leaves significant gaps for safe and effective use.
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 or redundancy. It's appropriately sized and front-loaded, 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 lack of annotations and output schema, the description is incomplete for a tool that likely returns structured data about a subreddit. It doesn't explain what 'information' includes (e.g., metadata, rules, stats), leaving the agent uncertain about the tool's output and how to use it effectively in 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 input schema has 100% description coverage, with the parameter 'subreddit_name' clearly documented in the schema itself. The description adds no additional parameter details beyond what the schema provides, so it meets the baseline of 3 for adequate but minimal value in this dimension.
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 verb ('Get') and resource ('information about a subreddit'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its siblings (e.g., 'get_subreddit_hot_posts'), which all involve retrieving subreddit-related data but serve different purposes.
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. With siblings like 'get_subreddit_hot_posts' that also retrieve subreddit data, there's no indication that this tool is for general metadata versus post listings, leaving the agent to guess based on 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 states the tool retrieves posts but omits critical details such as rate limits, authentication requirements, pagination behavior, error handling, or the format of returned data. This leaves significant gaps for an agent to understand how the tool behaves in practice.
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 function without unnecessary words. It is front-loaded and wastes no space, making it easy to parse quickly while conveying the core purpose.
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 lack of annotations and output schema, the description is incomplete for a tool that likely involves API calls with behavioral nuances. It fails to address key contextual aspects like data format, error conditions, or operational constraints, leaving the agent with insufficient information for reliable 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, clearly documenting both parameters ('subreddit_name' and 'limit') with examples and constraints. The description adds no additional semantic context beyond what the schema provides, so it meets the baseline for adequate but unenhanced parameter information.
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 ('Get') and resource ('new posts from a specific subreddit'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from siblings like 'get_subreddit_hot_posts' or 'get_subreddit_top_posts' beyond the 'new' qualifier, which is implied but not contrasted.
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 'get_frontpage_posts' or other subreddit-specific tools (e.g., 'get_subreddit_hot_posts'). It lacks context about what 'new' means (e.g., chronological order, time frame) or any prerequisites, leaving usage entirely implicit.
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 states the action but doesn't mention any behavioral traits such as rate limits, authentication requirements, pagination, or what the return format looks like. This is a significant gap for a tool with no annotation coverage.
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 wasted words. It is appropriately sized and front-loaded, 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 lack of annotations and output schema, the description is incomplete. It doesn't explain what 'rising' means in Reddit's context, the return format, or any behavioral aspects like error handling. For a tool with two parameters and multiple siblings, more context is needed to be fully helpful.
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 clear descriptions for both parameters ('subreddit_name' and 'limit'), including defaults and constraints. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 without compensating or detracting.
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 verb ('Get') and resource ('rising posts from a specific subreddit'), making the purpose immediately understandable. It distinguishes itself from siblings like 'get_subreddit_hot_posts' or 'get_subreddit_new_posts' by specifying 'rising' posts, though it doesn't explicitly contrast with them in the text.
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. With siblings like 'get_subreddit_hot_posts' and 'get_subreddit_new_posts', the description lacks any context about what 'rising' means or when it's preferred over other listing tools, leaving usage decisions ambiguous.
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 states what the tool does but provides no information about authentication requirements, rate limits, error conditions, response format, or pagination behavior. For a read operation that likely has API constraints, this is a significant gap.
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 communicates the core purpose without any wasted words. It's appropriately sized for a straightforward tool and gets directly to the point.
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 3 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what 'top' means algorithmically, doesn't describe the return format, and provides no context about authentication or API limitations. The description should do more to compensate for the lack of structured metadata.
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 all parameters are well-documented in the schema itself. The description adds no additional parameter information beyond what's already in the schema descriptions. This meets the baseline expectation when schema coverage is complete.
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 verb 'Get' and resource 'top posts from a specific subreddit', making the purpose immediately understandable. It distinguishes from some siblings like 'get_subreddit_info' or 'get_post_comments', but doesn't explicitly differentiate from other post-fetching siblings like 'get_subreddit_hot_posts' or 'get_subreddit_new_posts'.
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. With siblings like 'get_subreddit_hot_posts', 'get_subreddit_new_posts', and 'get_subreddit_rising_posts' available, there's no indication of what 'top' means or when it's preferable to other sorting methods.
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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