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aiopnet

MCP Nautobot Server

by aiopnet

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation4/5

    Most tools have distinct purposes: get_ip_address_by_id retrieves a specific IP, get_ip_addresses lists IPs with filters, get_prefixes handles prefixes, and test_connection is unique. However, get_ip_addresses and search_ip_addresses have some overlap, as both involve retrieving IP addresses, which could cause mild confusion about when to use each.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with clear verb_noun structures (e.g., get_ip_address_by_id, search_ip_addresses). The naming is predictable and readable across all five tools, with no deviations in style.

    Tool Count4/5

    With 5 tools, the count is reasonable for a server focused on IP address and prefix management in Nautobot. It's slightly lean but covers core retrieval and testing operations without feeling bloated, though it could benefit from more actions like create or update tools.

    Completeness2/5

    The tool set is severely incomplete for managing IP addresses and prefixes in Nautobot. It only provides retrieval and search operations, with no tools for creating, updating, or deleting IP addresses or prefixes. This leaves significant gaps that will hinder agents from performing full lifecycle management.

  • Average 3.1/5 across 5 of 5 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?

    With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'filtering options' but doesn't describe important behaviors like pagination details (implied by limit/offset parameters), authentication requirements, rate limits, error conditions, or what format the results will be returned in. The description is insufficient for a tool with 8 parameters and no output schema.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately sized for a retrieval tool and front-loads the essential information.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a tool with 8 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the tool returns, how results are structured, or important behavioral aspects like authentication needs or error handling. The description fails to compensate for the lack of structured metadata.

    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?

    With 100% schema description coverage, the input schema already documents all 8 parameters thoroughly. The description adds no additional parameter semantics beyond mentioning 'filtering options' generically. The baseline score of 3 is appropriate since the schema does the heavy lifting for parameter documentation.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Retrieve') and resource ('IP addresses from Nautobot'), making the tool's purpose understandable. It distinguishes itself from 'get_ip_address_by_id' by retrieving multiple addresses with filtering, but doesn't explicitly differentiate from 'search_ip_addresses' which might offer similar functionality.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides no guidance on when to use this tool versus alternatives like 'search_ip_addresses' or 'get_ip_address_by_id'. It mentions 'filtering options' but doesn't specify use cases, prerequisites, or when other tools might be more appropriate.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries the full burden. It mentions 'filtering options' but doesn't disclose key behaviors: whether this is a read-only operation, if it has rate limits, what authentication is required, or what the output format looks like. For a tool with 8 parameters and no annotations, this leaves significant gaps in understanding its behavior.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, efficient sentence that front-loads the core purpose ('Retrieve network prefixes from Nautobot') and adds a useful qualifier ('with filtering options'). There's no wasted verbiage or redundancy, making it appropriately concise for the tool's complexity.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool has 8 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain the return values, error conditions, or behavioral nuances like pagination (implied by 'limit' and 'offset' parameters). For a data retrieval tool with multiple filters, more context is needed to guide effective use.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, so the schema fully documents all 8 parameters with their types, descriptions, and constraints. The description adds minimal value by mentioning 'filtering options' generically, but doesn't provide additional context or meaning beyond what's already in the schema. This meets the baseline for high schema coverage.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Retrieve') and resource ('network prefixes from Nautobot'), making the purpose understandable. It also mentions 'with filtering options' which adds specificity. However, it doesn't explicitly differentiate from sibling tools like 'get_ip_addresses' or 'search_ip_addresses', which might retrieve similar network data.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'get_ip_addresses' and 'search_ip_addresses' available, there's no indication of whether this tool is for broader prefix retrieval, how it differs in scope, or any prerequisites for use.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

  • Behavior2/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Test') but doesn't explain what testing entails—whether it performs authentication, checks network connectivity, validates permissions, or returns specific status information. This leaves critical behavioral traits unspecified.

    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, direct sentence with no wasted words. It's front-loaded with the core purpose and efficiently communicates the essential action without any structural fluff.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness2/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's simplicity (no parameters, no output schema), the description is minimal but incomplete. It doesn't explain what 'testing' involves or what result to expect, which is crucial for a connection-testing tool with no annotations. More context on behavior or output would improve completeness.

    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 schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, earning a baseline high score for not adding unnecessary information.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Test') and target resource ('connection to the Nautobot API'), making the purpose immediately understandable. However, it doesn't distinguish this tool from its siblings (all data retrieval tools), which are unrelated to connection testing, so it misses 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 Guidelines2/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    The description provides no guidance on when to use this tool versus alternatives or in what context it should be invoked. It doesn't mention prerequisites, timing, or relationship to the sibling tools, leaving usage entirely implicit.

    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 full burden. It states the tool retrieves data, implying a read-only operation, but doesn't disclose behavioral traits such as authentication needs, rate limits, error handling (e.g., what happens if the ID doesn't exist), or response format. The description is minimal and lacks context 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.

    Conciseness5/5

    Is 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 information ('Retrieve a specific IP address') and efficiently specifies the method ('by its Nautobot ID'). Every part of the sentence earns its place.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's low complexity (single parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on behavior, usage context, or output, leaving gaps that could hinder an AI agent. Without annotations or output schema, more completeness would be beneficial for a retrieval tool.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, with the single parameter 'ip_id' documented as 'The Nautobot ID of the IP address'. The description adds no additional meaning beyond this, such as format examples or constraints. Baseline score of 3 is appropriate since the schema adequately covers the parameter.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Retrieve') and resource ('a specific IP address'), and specifies the lookup method ('by its Nautobot ID'). It distinguishes from siblings like 'get_ip_addresses' (plural) by indicating retrieval of a single specific record. However, it doesn't explicitly contrast with 'search_ip_addresses' which might also retrieve IP addresses through different criteria.

    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 when you have the Nautobot ID and want to fetch a single IP address, but it doesn't explicitly state when to use this versus alternatives like 'search_ip_addresses' or 'get_ip_addresses'. No guidance on prerequisites, error conditions, or exclusions is provided.

    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. It mentions 'Search' but doesn't disclose behavioral traits such as whether this is a read-only operation, potential rate limits, authentication needs, or what happens on no matches. The description is minimal and lacks critical context for safe and effective use.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness5/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and appropriately sized, with every element contributing to clarity.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness3/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given no annotations and no output schema, the description is incomplete for a search tool with 2 parameters. It covers the basic purpose but lacks details on behavior, return values, or error handling. However, the high schema coverage and simple structure keep it from being severely inadequate.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    Schema description coverage is 100%, with clear documentation for 'query' (matches IP address, description, etc.) and 'limit' (default, max). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline for high coverage without compensating value.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose4/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description clearly states the action ('Search') and resource ('IP addresses') with the method ('using a general query string'). It distinguishes from siblings like 'get_ip_address_by_id' (specific ID lookup) and 'get_ip_addresses' (likely unfiltered list) by specifying search functionality, though it doesn't explicitly name these alternatives.

    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 searching IP addresses with a query, suggesting it's for filtered retrieval versus unfiltered listing. However, it doesn't explicitly state when to use this tool over siblings like 'get_ip_addresses' or 'get_ip_address_by_id', nor does it provide exclusion criteria or prerequisites.

    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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