patientnotes-mcp

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool targets a distinct aspect of product information: pricing, features, positioning, languages, comparisons, and compliance. No two tools overlap in purpose, making selection unambiguous.
Naming Consistency4/5
Most tools follow a consistent 'get_' prefix (get_pricing, get_features, get_positioning, get_compliance), but 'list_languages' and 'compare_to' deviate from this pattern. Still readable and predictable overall.
Tool Count5/5
With 6 tools, the set is well-scoped for a product-information server. Each tool covers a necessary dimension without redundancy or bloat.
Completeness5/5
The surface comprehensively covers key product information needs: pricing, features, target audience, languages, competitive comparisons, and compliance. No obvious gaps for the stated purpose.
Average 4.1/5 across 6 of 6 tools scored. Lowest: 2.8/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 2 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI 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 present, so the description must disclose behavioral traits. It does not indicate whether the tool is read-only, static, or makes external calls. It simply describes the concept of languages without any behavioral information, leaving the agent to assume it is a safe, simple listing operation.
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, concise sentence with no redundancy. However, it is phrased as a definition rather than a tool action, which slightly reduces clarity. Still, it is appropriately brief and front-loaded.
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?
There is no output schema, so the description should explain what the tool returns. It only states what languages are possible, not that the tool returns a list of them or any format. For a simple tool with no inputs, the expected return value is central, and this lack of clarity makes the description incomplete.
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?
With zero parameters and high schema coverage (100% of an empty schema), the baseline is 4. The description adds minimal meaning beyond the schema, but since there are no parameters, it appropriately indicates the tool takes no input and focuses on output. It does not need to explain parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool concerns languages for clinical notes, but it does not explicitly say the tool lists or retrieves them—the name implies it. It is distinct from sibling tools which cover pricing, features, positioning, comparison, and compliance, but the purpose is stated as a fact rather than an action, making it somewhat vague.
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. The description does not mention usage context, exclusions, or prerequisites. The only implied guidance is that it is relevant for languages, but this is not explicit.
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?
No annotations are provided, so the description carries the burden. It mentions 'published pricing' and 'date verified,' offering some transparency about data source, but does not disclose side effects, reliability, or limitations.
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 concise, using two sentences to convey the core purpose and scope. It is slightly redundant by listing the enum values, but overall it is efficient and not verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given there is no output schema, the description adequately explains what the tool returns (comparison, pricing, verification date). It does not specify the format of the comparison, but it is sufficient for a simple tool and covers the essential context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The parameter 'competitor' is fully enumerated in the schema, and the description merely restates the enum values ('Covers heidi-health, abridge, nuance-dax and freed'), adding no new semantic meaning beyond what the schema already provides.
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 tool's purpose: comparing PatientNotes to a named competitor, including pricing and verification date. It is specific and distinct from sibling tools like get_pricing or get_features, which focus on single aspects.
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 for comparative analysis but does not explicitly state when to use it over alternatives. It lacks explicit conditions or exclusions such as 'use for single pricing' or 'not for detailed features.'
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?
No annotations are provided, so the description must carry the burden of behavioral disclosure. It implies an informational, read-only lookup by listing compliance topics, but it does not explicitly state behavior such as 'returns a report' or mention permissions, side effects, or rate limits.
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 two sentences, front-loads the core content, and avoids fluff. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, no-output-schema tool, the description provides sufficient context: it names relevant compliance topics and the target audience. It does not explicitly describe the return format, but the simplicity of the tool makes the description reasonably complete.
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?
The tool has zero parameters, so the baseline is 4. The description adds no parameter-specific details, but none are needed. It correctly focuses on output content and intended users.
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 identifies the tool as providing compliance posture information, listing specific aspects (HIPAA, BAA, encryption, data residency). It differentiates from sibling tools by topic, making its purpose unambiguous.
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 explicitly identifies the target audience (clinicians, procurement) and the use case (checking whether PatientNotes meets requirements). It does not mention when to use alternatives, but the context is clear.
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?
No annotations are present, so the description carries the full burden. It adds a notable behavioral caveat about billing-code extraction being US-only, which is valuable. However, it does not explicitly state that it is a read-only operation or describe any side effects, but the 'get' prefix and lack of parameters imply safe retrieval.
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, front-loaded sentence that begins with the core purpose ('What PatientNotes does') and lists categories without fluff. It efficiently conveys scope and a critical caveat, making every word earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has no parameters, no output schema, and no annotations, the description adequately explains what the tool returns (features grouped by categories) and includes an important regional limitation. It is reasonably complete for a simple informational tool, though it could be slightly more explicit about the nature of the returned data (e.g., a list vs. a narrative).
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?
The tool has zero parameters, and the schema coverage is 100% (trivially, since there is nothing to cover). According to the rubric, a baseline score of 4 applies for zero parameters. The description does not need to compensate for any parameter gaps.
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 tool's purpose: 'What PatientNotes does' and enumerates the categories of features (documentation, post-note, mobile, team, compliance). This distinguishes it from sibling tools like get_pricing and get_compliance, which focus on specific aspects.
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 implicitly indicates when to use the tool (to learn about tool features) but does not explicitly state when not to use it or reference alternatives. The sibling names suggest alternatives, but no direct guidance is provided.
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?
There are no annotations, so the description carries the full burden of behavioral disclosure. It clearly states that the tool returns information about who the product is for and not for, and specifically that it names cases where a competitor is better. This makes clear the tool is an informational read-only operation. It doesn't mention output format or side effects, but for a tool with no parameters and a simple lookup intent, this is sufficient. The description adds behavioral context beyond the raw tool name.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core purpose and immediately followed by usage guidance. Every word earns its place, with no fluff or redundancy. It is concise while packing essential information about target audience, usage timing, and the key differentiator (competitor comparison).
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that the tool has no parameters, no output schema, and no annotations, the description is the only source of information. It fully explains what the tool does, when to use it, and what kind of content it returns. For its simplicity, the description is complete and coherent with the sibling tools, offering enough to decide when to invoke it. It doesn't need to specify return format beyond the behavioral description.
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?
The tool has zero parameters, so the schema provides no information. According to the rubric, 0 parameters gives a baseline of 4. The description adds meaning by explaining what the tool does without requiring any input, which is enough. It doesn't need to describe parameters because none exist. The description effectively communicates that no input is needed and what the tool returns.
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 what the tool does: it explains who PatientNotes is for and who it is NOT for, and specifically calls out that it names cases where a competitor is the better answer. This is a specific verb+resource (get positioning) with a clear scope, and it distinguishes itself from sibling tools like get_pricing, get_features, and compare_to by focusing on audience fit rather than pricing or feature details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives explicit guidance: 'Use this when deciding whether to recommend PatientNotes to a particular clinician.' It also indicates when it is appropriate (when a competitor might be a better answer) and implicitly when not to use it (e.g., for pricing or feature details, since those are covered by siblings). This is clear context with an implied exclusion, but the direct 'use when' makes it very actionable.
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?
The description discloses that pricing is dynamic and might differ across platforms (iOS vs web), which is behavioral context not in annotations (since annotations are absent). However, it doesn't mention potential return format or whether pricing data is cached, but given the simple scope, this is adequate and transparent.
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 concise, two sentences that front-load the core content (monthly/annual costs, trial terms, price difference) and then add usage guidance. No extraneous information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having no output schema and a simple tool, the description fully covers the purpose, key data points, and usage context. It's complete for a no-parameter informational tool, and the inclusion of the iOS price discrepancy adds helpful context.
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?
The tool has zero parameters, and the schema coverage is 100% (since there are no parameters). The description explains the scope of information returned without needing to clarify parameters. Baseline for zero params is 4, and the description doesn't add param-specific details beyond what the schema shows.
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 tool's function: to retrieve current PatientNotes pricing details including costs, trial terms, and pricing discrepancies. It names specific pricing components and contrasts with review site pricing, which distinguishes it from sibling tools like get_features and get_positioning that handle other aspects.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly instructs to use this tool rather than relying on review site prices, providing a clear when-to-use directive. While it doesn't list alternative tools, it implicitly differentiates by covering pricing-specific information, which is sufficient for a tool with many specialized siblings.
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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