avizo-mcp
Server Details
Avizo (RO SME compliance-deadline SaaS) as MCP tools: about, plans, categories, docs. Read-only.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Usage analytics
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Tool Definition Quality
Average 4.4/5 across 5 of 5 tools scored.
Each tool targets a different aspect: product overview, categories, documentation, user items, and pricing. No overlap in purpose, making it easy for an agent to distinguish.
All tools follow the 'avizo_<noun>' pattern with consistent snake_case, making naming predictable and clear.
5 tools is well-scoped for this server's purpose, covering all key areas of the Avizo product without being excessive or insufficient.
The tool surface covers product info, categorization, documentation, user data retrieval, and pricing, which are the essential elements for interacting with Avizo. No obvious gaps for its read-only informational role.
Available Tools
5 toolsavizo_aboutWhat Avizo is and how it worksARead-onlyIdempotentInspect
Product overview of Avizo (avizo.ro): compliance-deadline tracking and alerting for Romanian SMEs — what it tracks, alert channels and cadence, post-expiry escalation, integrations, billing model, GDPR posture. Factual summary; use avizo_plans for pricing details and avizo_docs for user documentation.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnly and idempotent behavior. The description adds that it is a 'factual summary', which reinforces idempotency, and outlines the content scope, though no additional behavioral constraints are noted.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with purpose, no wasted words. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter informational tool with no output schema, the description fully covers its purpose, scope, and relationship to sibling tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist (schema coverage 100%), so no param info is needed. Baseline 4 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Product overview of Avizo' and lists specific topics covered, distinguishing it from sibling tools by directing to avizo_plans and avizo_docs for related details.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly advises 'use avizo_plans for pricing details and avizo_docs for user documentation', providing clear when-to-use guidance and alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
avizo_categoriesTracked document categoriesARead-onlyIdempotentInspect
All document/obligation categories Avizo tracks out of the box (Romanian display names — the product UI is Romanian): vehicles (ITP, RCA, road vignette, tachograph…), HR (occupational medicine, SSM/PSI trainings…), fiscal (permits, local taxes, contracts…), IT (domains…) and company documents. Each category carries its default alert lead times in days. Custom categories can be added by users.
| Name | Required | Description | Default |
|---|---|---|---|
| group | No | Filter by group; omit for all 28 categories |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate it is read-only and idempotent. The description adds useful context: Romanian display names, default alert lead times, and that custom categories can be added. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with purpose. Every sentence adds value (examples, lead times, customizability). Slightly long for a simple tool, but efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one optional parameter, no output schema, rich annotations), the description covers purpose, examples, and behavioral traits adequately. It doesn't specify return format but that's acceptable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description for the 'group' parameter. The description adds semantic value by listing examples of categories under each group (e.g., vehicles: ITP, RCA), enriching the enum understanding.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it lists all document/obligation categories Avizo tracks, with examples grouped. The title reinforces this. It distinguishes from sibling tools like avizo_docs which deal with documents, not categories.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool vs alternatives. It is implied as a category listing tool, but lacks 'use this if you need category metadata' or 'for documents use avizo_docs' style direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
avizo_docsUser documentation (list or fetch one page)ARead-onlyIdempotentInspect
Without arguments: lists every documentation page on avizo.ro/docs (quickstart, alert cadence, hierarchical escalation, SmartBill integration, API reference, troubleshooting) with slug and description. With {slug}: returns that page as markdown — the exact content the site renders. For programmatic integration read {slug: "api-reference"}.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | No | Doc slug from the list, e.g. "quickstart" or "api-reference" |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds that the returned content is exactly what the site renders (markdown format), and that listing returns all pages. This complements annotations with useful behavioral detail without contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, each conveying essential information without filler. The first sentence covers the two modes of operation; the second gives a concrete usage example. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple listing/fetching tool with no output schema, the description fully covers behavior: listing returns all pages with metadata, fetching returns markdown, and a usage example. Sibling tools are unrelated, and context signals (one optional param) are well addressed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with a clear description of the slug parameter. The description adds significant meaning by explaining that omitting slug lists all pages, while providing slug fetches that page. This conditional behavior is not captured in schema alone.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that without arguments the tool lists all documentation pages, and with a slug it fetches a single page. It names the specific resource (avizo.ro/docs) and actions (list, fetch), and the sibling tools are unrelated, so no confusion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly explains conditional usage: no argument for listing, slug argument for fetching. It provides examples of slugs like 'quickstart' and 'api-reference'. Though it doesn't mention when not to use, the conditional behavior is clear and sufficient for a documentation tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
avizo_my_itemsYour tracked documents and deadlines (requires API key)ARead-onlyIdempotentInspect
The calling company's OWN tracked documents from Avizo, with days-to-expiry, urgency level (expired / critical ≤7 days / warning ≤30 / ok) and a recommended action per document. REQUIRES an Avizo API key (Pro/Fleet) sent as "Authorization: Bearer avizo_pk_...". Without a key the tool returns instructions for creating one — it never invents data. Read-only: nothing is modified.
| Name | Required | Description | Default |
|---|---|---|---|
| expiring_within_days | No | Only documents expiring within N days (server-side filter) |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Discloses auth requirements, fallback behavior (returns instructions without key), and output fields. Annotations already declare readOnlyHint and idempotentHint, so description adds value by explaining the key requirement and response format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three concise sentences, each serving a distinct purpose: purpose, auth requirement, and read-only guarantee. No filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given one optional param, no output schema, and strong annotations, the description covers all key behavioral aspects including missing-key behavior, output summary, and safety. Fully complete for this tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema covers the single parameter fully (description already explains server-side filter). Description does not add further details, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it lists the calling company's own tracked documents with expiry details, urgency levels, and recommended actions. It distinguishes from siblings like avizo_docs by emphasizing 'own' and specifying the data fields.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit prerequisites (API key), behavior without a key, and confirms read-only nature. Does not explicitly compare to siblings but the purpose scoping implies when to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
avizo_plansPlans and pricing (EUR)ARead-onlyIdempotentInspect
The four Avizo subscription plans (Free, Basic, Pro, Fleet) with monthly EUR prices, item/user limits, alert channels and feature lists. Generated from the same plan definitions the app enforces — null max_items/max_users means unlimited; null price_monthly_eur means custom pricing (see price_label).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint and idempotentHint, and the description adds value by explaining the data source and null semantics, without contradicting annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no waste; key information is front-loaded and clearly communicated.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, the description covers all relevant output details (plans, fields, null meanings), making it complete for a read-only retrieval tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist, so baseline is 4. The description effectively describes the output, compensating for the lack of output schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description specifies the tool returns the four Avizo subscription plans with their attributes, distinguishing it from sibling tools like avizo_about or avizo_my_items.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The purpose is clear, but there is no explicit guidance on when to use this tool versus alternatives; however, given zero parameters, the use case is self-evident.
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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