protonpass-mcp
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation4/5
Each tool targets a specific resource and action, with only minor overlap between get_totp and view_secret (which can retrieve the totp field via URI). For example, list_items vs view_item are clearly distinct in scope (metadata vs full details).
Naming Consistency5/5All tools follow a consistent verb_noun snake_case pattern (e.g., list_vaults, create_note, trash_item, generate_password). There is no mixing of camelCase, vague verbs, or irregular naming conventions.
Tool Count5/514 tools is well-scoped for a password manager, covering vaults, items, lifecycle, sharing, TOTP, and password generation. Each tool has a distinct place and the set feels intentional rather than bloated.
Completeness4/5The tool surface covers core CRUD/lifecycle for vaults and items, plus sharing, TOTP retrieval, and password generation. Minor gaps exist, such as no permanent delete (only trash/restore) and limited item creation types (only login and note), but these are workable.
Average 3.6/5 across 14 of 14 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
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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
- Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden for behavioral disclosure. It only states the action without any details on side effects, permissions, uniqueness constraints, or what happens upon successful creation. As a mutation tool, the lack of any behavioral context is a significant omission.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence, with the action and resource front-loaded and no filler. It is efficient, though it may be too minimal to convey important context, but that is a completeness issue rather than conciseness.
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 and output schema, the description should provide more context about the operation's behavior, potential errors, or usage prerequisites. The simple sentence covers only the basic purpose, leaving important gaps for a mutation tool, making it incomplete.
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 input schema already fully describes the 'name' parameter as 'Vault name', and the description adds no additional parameter information. With 100% schema coverage, the baseline is 3, and the description does not enrich the parameter semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Create') and the resource ('a new Proton Pass vault'), providing a precise and unambiguous purpose. It inherently distinguishes from sibling tools like list_vaults or create_login by specifying the resource as a vault.
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 gives no explicit guidance on when to use this tool versus alternatives. The name implies it is for creating vaults, but there is no mention of prerequisites or situations where other tools (e.g., create_login, create_note) would be preferred. This is implied usage rather than explicit guidance.
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, the description carries the full burden. It only states the create action without disclosing behavioral details such as vault existence requirements, password generation behavior, or what happens after creation. No safety or side-effect information is provided.
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 with no filler words. It conveys the core purpose without unnecessary detail.
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?
The tool has no output schema or annotations, and the description does not explain return values, side effects, or usage context relative to sibling tools. Given the complexity of 6 parameters and the create semantics, the description is insufficient for an agent to fully understand how to invoke it correctly.
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 input schema already provides descriptions for all 6 parameters, so the description adds no additional parameter semantics. The term 'login credential' aligns with username/password fields, but this is redundant with the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool creates a new login credential item, specifying the resource type (login credential) and location (in a vault), which differentiates it from sibling create_note and create_vault tools.
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 over alternatives like create_note or update_item. There is no mention of prerequisites, exclusions, or recommended use cases.
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, the description carries the full burden. It only states 'Restore a trashed item', but does not disclose side effects, permission requirements, behavior when the item is not trashed, or the response shape. This is a mutation tool with minimal 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.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words. It is appropriately sized for the action described, though it lacks depth that would affect other dimensions.
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 absence of annotations and output schema, the description is too minimal to provide complete context. It does not explain what 'restore' means operationally, the required state of the item, or any side effects. This is a significant gap for a write operation.
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?
Both parameters are documented in the schema with simple descriptions ('Item ID' and 'Vault share ID'), achieving 100% coverage. The tool description adds no additional meaning about how the parameters relate or any constraints beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'restore' and resource 'trashed item', clearly distinguishing it from sibling tools like trash_item and view_item. It conveys the core action 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 Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives, such as update_item or view_item. It does not mention that the item must be in the trash or that this is the inverse of trash_item.
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. It discloses the basic action but does not mention side effects (e.g., email notification, permission requirements, reversibility) or what happens on failure. Minimal behavioral context beyond the tool's name.
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?
A single, front-loaded sentence with no unnecessary words. It is appropriately sized and immediately conveys the core action.
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 no annotations and no output schema, the description is too sparse. It doesn't explain the outcome of sharing (e.g., what is returned, whether the recipient must accept) or any preconditions, making it incomplete for a mutation tool.
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?
Schema coverage is 100%, and the description adds no additional meaning beyond the schema. The role enum descriptions in the schema already explain access levels, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (share), the object (a vault), the recipient (another Proton user), and the method (by email). This specific verb+resource structure distinguishes it from siblings like create_vault and list_vaults.
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 explicit guidance on when to use this tool vs alternatives, nor any prerequisites or exclusions. It only implies usage through the action itself, with no mention of permissions or edge cases.
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, the description carries full responsibility for disclosing behavior. It mentions 'cryptographically secure' and 'random', implying a safe, stateless operation, but does not disclose what the tool returns (e.g., a plaintext string), potential side effects, or any restrictions. This is minimal information for an agent to predict tool behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that conveys the essential function without extraneous detail. It is front-loaded with the action verb and fully readable at a glance, earning full marks for efficiency.
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?
The tool is simple with one optional parameter, and the description sufficiently states its core function. However, it lacks an explanation of the return value (e.g., the generated password string) and any usage context relative to sibling tools. It is minimally viable but not richly complete.
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 input schema already documents the single 'length' parameter with a default value and type. Since schema description coverage is 100%, the description adds no additional meaning. The baseline score of 3 applies because the schema carries the semantic burden effectively.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific action ('Generate') and resource ('password'), with a qualifier ('cryptographically secure') that distinguishes it from other password-related operations. Among sibling tools focused on vaults and items, this is the only password generation utility, so it is unambiguous.
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, nor does it mention any prerequisites or typical scenarios (e.g., generating a password for a login). It simply states the function, leaving the agent to infer appropriate 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?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('view') and the content returned, but does not mention that the output may contain sensitive data (passwords), nor does it explicitly confirm a read-only nature, permissions, or error behavior. This is a notable gap for a tool that exposes secrets.
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, well-structured sentence that front-loads the key verb and resource, then lists examples of the content. Every word contributes to clarity with no redundancy or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (two parameters) and the absence of an output schema, the description adequately explains what the tool returns by listing the full field types. It could be more complete by noting that the output contains sensitive data or that the item must belong to the specified vault, but it is sufficient for basic invocation.
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 input schema already provides descriptions for both parameters ('Item ID' and 'Vault share ID'), achieving 100% coverage. The tool description adds no extra parameter-level detail beyond what the schema states, so a baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb ('View') and resource ('item'), and enumerates the full details returned (title, username, password, URLs, notes, custom fields). This distinguishes it from sibling tools like list_items, which likely provide a summary, and view_secret, which handles a different resource type.
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 explicit guidance on when to use this tool versus alternatives (e.g., list_items for summaries, view_secret for secrets). Usage is only implied by the tool's name and purpose, with no mention of exclusions or preferred contexts.
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, the description must disclose mutation effects, prerequisites, and return behavior. It only states 'create new', providing none of the additional behavioral context needed for a mutating operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence conveys the tool's core purpose without redundant or extraneous words; every word earns its place.
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?
The tool is low-complexity and all params are documented, but with no output schema and no annotations, the description could have added expected return value or a pointer to list_vaults for obtaining vault_id. Overall adequate but with clear gaps.
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?
Schema description coverage is 100%, and fields are self-descriptive ('Vault share ID', 'Note title', 'Note content'). The tool description itself adds no parameter-level detail, so baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Create a new secure note item in a vault' uses a specific verb (create) and distinct resource (note item in vault), clearly distinguishing it from sibling tools like create_login and create_vault.
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 this tool is for creating note entries but provides no explicit guidance on when to choose it over alternatives such as create_login or update_item, nor any prerequisites like having an existing vault_id.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It does disclose that the code is 'current' and that the item must have 2FA configured, but it does not mention time-based expiration, read-only nature, or failure behavior when 2FA is not configured. Some context is provided, but more could be shared.
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 unnecessary words. It is front-loaded and immediately conveys the tool's purpose, earning a perfect score for conciseness.
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?
The tool is simple with two well-defined parameters and no output schema. However, the description lacks details about return format, time-sensitivity, or error cases. It is adequate but not fully complete given the absence of annotations and output schema.
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?
Schema description coverage is 100%, both parameters have basic descriptions ('Item ID' and 'Vault share ID'). The description does not add meaning beyond the schema, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Get') and a clear resource ('current TOTP one-time code for an item that has 2FA configured'). It clearly distinguishes this tool from siblings like view_item, generate_password, or view_secret by specifying the exact purpose and precondition.
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 the tool should be used when a TOTP code is needed for an item with 2FA, but it does not explicitly state when not to use it or how it compares to alternatives. There are no exclusions or alternative tool names 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?
No annotations exist, so the description carries the full burden for behavioral disclosure. It indicates a read operation but does not state the return format, potential pagination, permission implications, or any side effects. Minimal disclosure beyond the basic action.
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?
A single, clear sentence that immediately conveys the purpose. No wasted words or redundant details.
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?
The tool is simple with no parameters, but there is no output schema or behavioral detail. The agent learns that it lists vaults but not the structure of the result or any filtering or sorting behavior. Adequate for a trivial operation, yet leaves some ambiguity.
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 tool has zero parameters, so schema coverage is trivially 100%. No parameter documentation is needed, and the description does not add parameter details. Baseline for zero parameters is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states 'List all Proton Pass vaults accessible to the current account' – a specific verb ('List'), resource ('vaults'), and scope ('accessible to current account'). This distinguishes it from siblings like create_vault (creation) and list_items (items within vaults).
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?
Implied usage as a read-only listing operation, but no explicit when-to-use or alternatives are provided. The description itself is the only guidance, giving a clear action but no context about when to prefer this over related tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries the full burden. It discloses the key behavioral trait that only supplied fields change, but it does not cover permissions, reversibility, response format, or error semantics, which are relevant 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.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two concise sentences, front-loaded with the action and resource. Every word adds value, and there is no filler or redundant restating of the schema.
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 7 parameters, no annotations, and no output schema, the description is adequate for basic invocation but lacks information about return values, error cases, or specific conditions for use. It captures the essential partial-update behavior but leaves some operational context undocumented.
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?
Schema description coverage is 100%, so the input schema already documents all parameters and their optionality. The description's partial-update statement adds general context but does not provide additional per-parameter meaning, matching the baseline of 3.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource ('Update an existing item') and clearly distinguishes from sibling operations like create_login, trash_item, and restore_item. The second sentence adds partial-update semantics, making the tool's purpose explicit.
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 for modifying an existing item, but it does not explicitly state when to choose this tool over alternatives such as create_login or restore_item. There is no mention of exclusions or prerequisites, so guidance is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Given no annotations, the description carries the full burden but only discloses the scope behavior (omit vault_id). It doesn't mention return format, ordering, or potential large result sets, but the read-only nature is implied by 'list'.
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?
Single sentence, front-loaded with action, no fluff. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with one optional parameter and no output schema, the description sufficiently communicates its function and the key optional behavior. However, it doesn't clarify what types of items are returned or any pagination, but these are not critical given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers vault_id 100% with 'Vault share ID (optional)', but the description adds meaning by explicitly stating the effect of omitting it (lists across all vaults). This clarifies user intent beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('List') and resource ('items'), and clearly defines the scope via optional vault_id. It distinguishes from sibling list_vaults by focusing on items rather than vaults.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides clear context that omitting vault_id lists across all vaults, implying when to use the optional parameter. However, it doesn't explicitly mention alternatives or when not to use this tool (e.g., for viewing a single item's details).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the key behavior: 'soft delete' (reversible) and mentions the undo path via restore_item. It does not detail side effects like item visibility or permissions, but the core behavioral trait is covered.
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?
Two succinct sentences that front-load the action and include a useful cross-reference. No wasted words or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter tool, the description provides the essential behavior (soft delete) and the undo path. It could add what happens to the item after trashing, but this is not needed for correct invocation.
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 input schema provides 100% coverage with descriptions for both parameters ('Item ID', 'Vault share ID'). The description itself adds no extra parameter information, which is fine given the schema is sufficient.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Move an item to trash') and the resource ('item'), and specifies 'soft delete' to distinguish it from permanent deletion. This differentiates it from sibling tools like update_item or view_item.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly points to restore_item for undoing the action, which clarifies the primary alternative scenario. However, it does not discuss when to use trash_item versus other modification tools, though the operation is fairly self-evident.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden. It explicitly states 'Get information,' indicating a read-only operation, and adds the important context that it applies to the 'currently authenticated' account, implying authentication requirements. No side effects are mentioned, but for a read operation this is sufficient.
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 sentence, front-loaded with the action and resource, with no unnecessary words.
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?
While the description clearly states the purpose, it does not specify what information is returned (e.g., email, user ID). Since there is no output schema, this lack of detail is a gap. However, the tool's simplicity mitigates the impact.
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 tool has zero parameters, and the input schema is empty. The description adds no parameter details, but with no parameters, the baseline score of 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Get' and specifies the resource as 'information about the currently authenticated Proton account,' clearly distinguishing it from sibling tools like list_vaults or create_login.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The context is clear: this tool is for retrieving information about the authenticated Proton account. No explicit alternatives are mentioned, but the scope of 'currently authenticated account' provides adequate context for when to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses the read-only nature ('Retrieve') and URI format, but does not mention whether the secret is returned in plaintext, any security implications, or error handling for missing fields. This is adequate for a simple read but lacks deeper behavioral context, especially for a secret-sensitive tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and front-loaded: first sentence states the action, then the URI format, field list, and example. Every sentence adds necessary information with no filler. It is appropriately sized for a single-parameter tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Description is nearly complete for a simple retrieval tool: explains URI construction and valid fields. The only gaps are the lack of error-handling details and a potential ambiguity with the sibling get_totp tool, since totp is listed as a field here. This could confuse an agent about which tool to use for TOTP, so it's not a perfect 5.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds substantial meaning beyond the schema: it defines the URI structure (pass://<vault-name>/<item-name>/<field>), enumerates valid field names (username, password, email, url, note, totp, custom), and provides a concrete example. This gives the agent complete guidance for constructing the uri parameter, far exceeding the schema's generic description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action: 'Retrieve a specific field value from an item using a pass:// URI.' It specifies the resource (item field) and distinguishes from siblings like view_item (whole item) and get_totp (TOTP-focused). The verb 'retrieve' is specific and the URI format clarifies scope.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The tool's use case is clear: when you need a single field value, identified by a pass:// URI. It implies this is the tool for targeted retrieval, but it does not explicitly state alternatives or exclusions (e.g., 'for full item use view_item'). Thus it falls short of explicit when-not guidance but still provides clear context.
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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