TwilioManager MCP
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation2/5
Two tools have nearly identical purposes: 'get_account_phone_numbers' and 'get_all_phone_numbers' both retrieve phone numbers for Twilio subaccounts, creating clear ambiguity. The other two tools target distinct resources (regulatory bundles and subaccounts), but the overlap between the first two tools is significant and likely to cause misselection.
Naming Consistency4/5All tools follow a consistent verb_noun pattern (e.g., get_account_phone_numbers, list_twilio_subaccounts) with clear, descriptive names. The naming style is uniform across the set, making it easy to parse and understand the actions and targets.
Tool Count3/5With only 4 tools, the count feels thin for a server named 'TwilioManager MCP', which suggests broader Twilio API management. This limited set may not cover essential operations like sending messages, managing calls, or updating resources, making it borderline for the implied scope.
Completeness2/5The tool surface is severely incomplete for Twilio management, lacking core functionalities such as sending SMS, making calls, or updating subaccounts. It focuses narrowly on retrieval operations (get/list) without create, update, or delete capabilities, leading to significant gaps that will hinder agent workflows.
Average 3/5 across 4 of 4 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
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
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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 full burden. It states a read operation ('Get'), implying it's likely non-destructive, but doesn't disclose behavioral traits such as authentication needs, rate limits, pagination, error handling, or what 'all' entails (e.g., scope, limits). For a tool with 3 required parameters and no annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with zero waste, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (3 required parameters, no annotations, no output schema), the description is incomplete. It lacks details on parameter usage, behavioral context, and output expectations. For a tool that likely involves account and phone number management, more guidance is needed to help an agent use it correctly, especially with sibling tools present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, meaning parameters are undocumented in the schema. The description adds no meaning beyond the schema—it doesn't explain what the parameters (source_account_sid, phone_number_sid, target_account_sid) do, why they're required, or how they relate to 'getting all phone numbers'. With 3 required parameters and no compensation in the description, this fails to provide necessary semantic context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('all phone numbers associated with a Twilio subaccount'), providing specific verb+resource pairing. However, it doesn't explicitly differentiate from sibling tools like 'get_account_phone_numbers' or 'list_twilio_subaccounts', which likely have overlapping functionality. The purpose is clear but lacks sibling distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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, context for selecting this over siblings like 'get_account_phone_numbers', or any exclusions. Usage is implied by the name and description alone, with no explicit when/when-not 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 states the action ('Get') but doesn't describe what 'Get all phone numbers' entails—e.g., whether it returns a list, includes pagination, requires specific permissions, or has rate limits. 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.
Conciseness5/5Is 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 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.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It doesn't address behavioral aspects like return format, error handling, or usage constraints, which are crucial for a tool with one required parameter and no structured guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must compensate. It mentions 'account_sid' implicitly but doesn't explain what this parameter represents, its format, or how to obtain it. Without this additional semantic information, the agent lacks context for proper usage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Get') and resource ('all phone numbers associated with a Twilio subaccount'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_all_phone_numbers', which might have overlapping functionality, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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_all_phone_numbers' or 'list_twilio_subaccounts'. It lacks context about prerequisites, such as whether the account_sid must be for a subaccount specifically, or any exclusions. This leaves the agent without clear 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action is to 'Get', implying a read operation, but doesn't specify if it requires authentication, rate limits, error conditions, or what the output format might be (e.g., a string SID). This leaves significant gaps in understanding how the tool behaves.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no wasted words. It front-loads the key action and resource, making it easy to understand at a glance. Every part of the sentence contributes directly to the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a read operation with one parameter), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what a 'regulatory bundle SID' is, how it's used, or what the return value looks like, leaving the agent with insufficient context to use the tool effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description mentions 'for a Twilio subaccount', which aligns with the single parameter 'subaccount_sid' in the schema. However, schema description coverage is 0%, so the description doesn't add details beyond the parameter's existence, such as format or validation rules. With one parameter and no schema descriptions, the baseline is 3 as it minimally compensates.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and the resource ('regulatory bundle SID for a Twilio subaccount'), making the purpose understandable. It doesn't explicitly differentiate from sibling tools like 'list_twilio_subaccounts', which lists subaccounts rather than retrieving a specific bundle SID, but the distinction is implied through the specific resource focus.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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. The description lacks context about prerequisites, such as needing a valid subaccount SID, or comparisons to other tools that might handle regulatory data. Usage is implied only by the tool's name and 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes the basic operation (listing/filtering subaccounts) but lacks details on permissions, rate limits, pagination, or response format. For a tool with zero annotation coverage, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the main purpose and includes essential details without waste. It's appropriately sized for a simple tool with no parameters, making it easy to understand quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is adequate but has clear gaps. It covers the basic operation but lacks details on behavioral aspects like response format or error handling. Without annotations or output schema, the description should do more to compensate, but it's minimally viable for this simple case.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameters are documented in the schema. The description adds value by explaining that filtering by friendly name is possible and that an empty string returns all subaccounts, which clarifies the tool's behavior beyond the empty schema. Since there are 0 parameters, the baseline is 4, and the description provides useful context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with a specific verb ('List') and resource ('Twilio subaccounts'), and mentions optional filtering by friendly name. However, it doesn't explicitly differentiate this tool from its sibling tools (get_account_phone_numbers, get_all_phone_numbers, get_regulatory_bundle_sid), which appear to be related but distinct operations. The description is clear but lacks sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by mentioning filtering by friendly name and providing an empty string for all subaccounts, but it doesn't explicitly state when to use this tool versus alternatives or any prerequisites. There's no guidance on when not to use it or comparisons with sibling tools, leaving usage somewhat ambiguous.
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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