GitHub Notifications MCP Server

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool has a clearly distinct purpose targeting specific notification actions like listing, marking, or managing subscriptions. The descriptions precisely differentiate operations by scope (e.g., list-notifications vs. list-repo-notifications) and action type, leaving no ambiguity for agent selection.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern with hyphens, such as 'list-notifications' and 'mark-thread-read'. The naming is uniform across the set, making it predictable and easy for agents to parse and understand the intended operations.
Tool Count5/5
With 11 tools, the server is well-scoped for GitHub notifications, covering key operations like listing, marking, and managing subscriptions. Each tool serves a specific function without redundancy, making the count appropriate for the domain's complexity and user needs.
Completeness5/5
The tool set provides complete coverage for GitHub notification workflows, including CRUD-like operations (list, get, mark, delete) and lifecycle management (subscriptions, read/done status). There are no obvious gaps, ensuring agents can handle all typical notification tasks without dead ends.
Average 3/5 across 11 of 11 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- Last stable release on March 31, 2025
- 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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```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
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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. It states this is a read operation ('Get information'), which implies it's non-destructive, but doesn't cover other important aspects like authentication requirements, rate limits, error handling, or what specific information is returned (e.g., thread details, status). For a tool with zero annotation coverage, this is insufficient.
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's appropriately sized for a simple retrieval tool and front-loads the essential information, 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 information is returned (e.g., thread content, metadata, or subscription status), which is critical for a retrieval tool. While the schema covers the input parameter well, the overall context for using the tool effectively is lacking.
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 single parameter 'thread_id' clearly documented in the schema. The description doesn't add any additional parameter context beyond what's in the schema (e.g., format examples, where to find thread IDs, or validation rules), so it meets the baseline of 3 where 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 clearly states the verb ('Get') and resource ('information about a GitHub notification thread'), making the purpose immediately understandable. However, it doesn't distinguish this tool from similar siblings like 'list-notifications' or 'list-repo-notifications', which also retrieve notification-related information but with different scopes.
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 doesn't mention prerequisites (e.g., needing a specific thread ID), exclusions, or how it differs from sibling tools like 'list-notifications' (which lists multiple notifications) or 'mark-thread-read' (which modifies thread state).
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 mentions 'for the authenticated user', implying authentication is needed, but doesn't detail permissions, rate limits, pagination behavior, or what the output looks like. For a tool with 6 parameters and no output schema, this leaves significant gaps in understanding how it behaves.
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 front-loads the core purpose without unnecessary words. It earns its place by concisely stating the tool's function, making it easy to parse and understand 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 (6 parameters, no output schema, and no annotations), the description is incomplete. It doesn't explain return values, authentication details, or behavioral traits like pagination or error handling. For a tool with multiple filtering options and sibling tools, more context is needed to guide 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%, meaning all parameters are documented in the input schema with clear descriptions (e.g., 'all' shows read notifications, 'participating' filters to direct participation). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline for high schema coverage without compensating 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 ('List') and resource ('GitHub notifications for the authenticated user'), providing a specific verb+resource combination. However, it doesn't explicitly distinguish this tool from its sibling 'list-repo-notifications', which suggests it might list all notifications vs. repository-specific ones, but this differentiation isn't stated in the description itself.
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 'list-repo-notifications' or other notification-related siblings. It lacks context about prerequisites, such as authentication requirements, or exclusions, 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 full burden but offers minimal behavioral insight. It states it's a list operation (implying read-only) but doesn't mention authentication requirements, rate limits, pagination behavior (beyond what's in schema), or what the output contains. For a tool with 8 parameters and no output schema, this leaves significant 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 a single, clear sentence that efficiently conveys the core purpose without unnecessary words. It's appropriately sized and front-loaded with 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?
Given the tool's complexity (8 parameters, no annotations, no output schema), the description is insufficient. It doesn't explain what kind of notifications are returned, how to interpret results, or provide context about GitHub's notification system. The agent would struggle to use this effectively without external knowledge.
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 8 parameters. The description adds no parameter-specific information beyond implying repository context for 'owner' and 'repo'. This meets the baseline of 3 when schema does the heavy lifting, 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 ('List') and resource ('GitHub notifications for a specific repository'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its sibling 'list-notifications', which appears to be a broader version without repository 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 'list-notifications' (for all notifications) or 'mark-repo-notifications-read' (for marking as read). It mentions 'specific repository' but doesn't clarify use cases or prerequisites beyond that implied scope.
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. While 'manage' implies mutation capabilities, the description doesn't specify what permissions are required, whether changes are reversible, what happens to existing settings, or what the response format looks like. For a tool with 4 parameters and no annotation coverage, this is insufficient 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that gets straight to the point. It's appropriately sized for the tool's complexity and doesn't waste words, though it could potentially be more front-loaded with critical usage 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 4 parameters, no annotations, and no output schema, the description is incomplete. It doesn't address behavioral aspects like authentication requirements, error conditions, or return values. While the schema covers parameter documentation well, the description fails to provide the contextual information needed for an agent to use this tool 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%, so the schema already documents all parameters thoroughly. The description mentions 'fine-grained notification preferences' which aligns with the 'action' enum values and 'options' object, but doesn't add meaningful semantic context beyond what's already in the parameter descriptions. 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 clearly states the tool's purpose as managing repository subscription settings with fine-grained notification preferences. It specifies the resource (repository subscription settings) and the scope (notification preferences), but doesn't explicitly differentiate from sibling tools like 'set-thread-subscription' or 'get-thread-subscription' that handle thread-specific subscriptions.
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. There are multiple sibling tools dealing with subscriptions and notifications (e.g., 'set-thread-subscription', 'list-repo-notifications'), but the description doesn't explain when this repository-level subscription tool is appropriate versus thread-level or notification listing tools.
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. While 'mark as read' implies a mutation operation, the description doesn't specify required permissions, whether the operation is reversible (the 'read' parameter suggests it might be), rate limits, or what happens when marking fails. For a mutation tool with zero annotation coverage, this is insufficient.
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 appropriately sized for a tool with two well-documented parameters and gets straight to the point 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 this is a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what happens after marking (success/failure response, side effects), doesn't clarify scope relative to sibling tools, and provides minimal behavioral context. For a tool that modifies notification state, more guidance 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?
Schema description coverage is 100%, so the schema fully documents both parameters (last_read_at with ISO 8601 format and default, read with boolean type and default). The description adds no parameter-specific information beyond what's in the schema, maintaining 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 action ('Mark') and resource ('GitHub notifications as read'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from sibling tools like 'mark-repo-notifications-read' or 'mark-thread-read', which appear to perform similar marking operations on different notification scopes.
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 sibling tools like 'mark-repo-notifications-read' and 'mark-thread-read' available, there's no indication whether this tool marks all notifications globally, by user, or by some other scope. No prerequisites, exclusions, or alternative recommendations are mentioned.
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 performs a write operation ('mark...as read'), implying mutation, but doesn't disclose permissions required, whether changes are reversible, rate limits, or what happens to notifications after marking. This leaves significant behavioral gaps for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
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 for a straightforward tool and front-loads the core functionality.
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 mutation tool with no annotations and no output schema, the description is inadequate. It doesn't explain what happens after marking notifications as read (e.g., are they hidden from future queries?), error conditions, or return values. The agent must rely entirely on the schema for behavioral understanding.
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 4 parameters. The description adds no parameter-specific information beyond what's in the schema (e.g., it doesn't explain the relationship between 'last_read_at' and 'read' parameters). 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 ('mark...as read') and resource ('GitHub notifications for a specific repository'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'mark-notifications-read' (global) or 'mark-thread-read' (thread-specific), which would require a 5.
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 'mark-notifications-read' (global notifications) or 'mark-thread-read' (specific threads). It also doesn't mention prerequisites or exclusions, leaving the agent to infer usage context 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 full burden for behavioral disclosure. While 'mark as done' implies a state change, the description doesn't clarify what 'done' means operationally (does it archive, hide, or permanently remove the thread?), whether this requires specific permissions, or what happens after marking. This leaves significant behavioral questions unanswered.
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 simple single-parameter tool and gets straight 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 mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'done' means operationally, what the expected outcome is, or how this differs from similar sibling operations. Given the context of multiple notification management tools, more guidance 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?
Schema description coverage is 100%, with the single parameter 'thread_id' clearly documented in the schema. The description adds no additional parameter information beyond what's already in the structured schema, so it meets the baseline expectation without adding extra 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 ('mark as done') and resource ('GitHub notification thread'), making the purpose immediately understandable. However, it doesn't distinguish this tool from sibling tools like 'mark-thread-read' or 'mark-notifications-read', which serve similar notification management functions.
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 multiple sibling tools for managing notifications (mark-thread-read, mark-notifications-read, mark-repo-notifications-read), there's no indication of what 'done' means compared to 'read' or when this specific operation is appropriate.
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 action but doesn't cover critical aspects like required permissions (e.g., authentication needs), side effects (e.g., whether this affects notifications elsewhere), or response behavior (e.g., success/failure indicators). For a mutation tool with zero annotation coverage, 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 directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly, earning a perfect score for 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 tool's mutation nature, lack of annotations, and absence of an output schema, the description is incomplete. It doesn't address behavioral traits like authentication requirements, error handling, or what happens upon success, which are crucial for an agent to use this tool effectively in a real-world 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?
Schema description coverage is 100%, with the single parameter 'thread_id' fully documented in the schema. The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints, so it meets the baseline score for high schema 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 ('mark as read') and the resource ('a GitHub notification thread'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from its sibling 'mark-thread-done' or other mark-read variants like 'mark-notifications-read' and 'mark-repo-notifications-read', which prevents 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. It doesn't mention prerequisites (e.g., needing a valid thread ID), exclusions (e.g., not for marking multiple threads), or comparisons to siblings like 'mark-thread-done' or 'mark-notifications-read', leaving the agent to infer usage from context 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 action ('Subscribe') but doesn't explain what subscription entails (e.g., email notifications, API events), whether it's idempotent, or if there are rate limits or authentication requirements. This leaves significant gaps for a mutation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
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 action and resource, making it easy to scan and understand 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 mutation nature (subscription implies a write operation), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like side effects, error conditions, or return values, which are critical for safe and 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?
The schema description coverage is 100%, so the schema already fully documents both parameters (thread_id and ignored). The description adds no additional meaning beyond what's in the schema, such as explaining the implications of 'ignored' or thread ID format, resulting in the baseline score.
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 ('Subscribe') and resource ('GitHub notification thread'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get-thread-subscription' or 'manage-repo-subscription', which prevents 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?
No guidance is provided on when to use this tool versus alternatives like 'delete-thread-subscription' or 'manage-repo-subscription'. The description lacks context about prerequisites, such as whether the thread must exist or if the user needs specific permissions, leaving usage unclear.
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 ('Unsubscribe') but does not describe effects (e.g., whether this is permanent, if it affects other users, or what happens to the thread), permissions required, or error handling. For a mutation tool with zero annotation coverage, 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 with zero waste. It is front-loaded with the core action and resource, making it immediately understandable without unnecessary elaboration.
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's complexity (a mutation with one parameter), lack of annotations, and no output schema, the description is minimally adequate. It states the purpose but lacks details on behavior, outcomes, or error conditions, which are important for a destructive operation. It meets basic requirements but leaves gaps in understanding the tool's full impact.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with the single parameter 'thread_id' fully documented in the schema. The description does not add parameter details beyond the schema, but with only one parameter and high schema coverage, the baseline is appropriately high. No additional semantic context is needed.
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 specific action ('Unsubscribe from') and resource ('a GitHub notification thread'), distinguishing it from sibling tools like 'get-thread-subscription' or 'set-thread-subscription'. It precisely communicates the tool's function without ambiguity.
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 context (unsubscribing from notifications) but does not explicitly state when to use this tool versus alternatives like 'manage-repo-subscription' or 'set-thread-subscription'. No guidance on prerequisites or exclusions is provided, leaving usage decisions to inference.
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 states what the tool does ('Get subscription status') without detailing behavioral traits such as whether it requires authentication, rate limits, error handling, or the format of the returned status. This leaves significant gaps for an agent to understand how to invoke it effectively.
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 directly states the tool's purpose without any unnecessary words or fluff. It is front-loaded and efficiently communicates the essential information, making it highly concise and well-structured.
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's low complexity (single parameter, no nested objects) and the lack of annotations and output schema, the description is minimally adequate. It covers the basic purpose but fails to provide behavioral context or output details, which are necessary for complete understanding. This meets the minimum viable threshold 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?
The input schema has 100% description coverage, with the single parameter 'thread_id' fully documented in the schema. The description does not add any additional meaning or context beyond what the schema provides, such as examples or usage notes. According to the rules, with high schema coverage, the baseline is 3 even without param info in the description.
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 specific action ('Get subscription status') and the target resource ('for a GitHub notification thread'), distinguishing it from sibling tools like 'get-thread' (which retrieves thread content) or 'set-thread-subscription' (which modifies subscription). It uses precise language that avoids tautology with the tool name.
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 implies usage context by specifying 'for a GitHub notification thread,' indicating it should be used to check subscription status of notification threads. However, it does not explicitly state when to use this tool versus alternatives like 'manage-repo-subscription' or 'list-notifications,' nor does it provide exclusions or prerequisites, keeping it from a perfect score.
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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