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Frisian MCP (Django)

install

Installation guides for frisian-mcp integrations (Django framework tier). Actions: nautobot, netbox, paperless, edx. Each action returns the files changed to make the integration work, organised by version. Pass query for semantic search within the section.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
pageNo
actionNoOperation to perform. Omit or use 'help' to list all available actions and their required parameters.
paramsNoAction-specific parameters. nautobot: (no params); netbox: (no params); paperless: (no params); edx: (no params). 'mode', 'page', 'page_size' and 'filter_keys' are top-level ONLY on a continuation call (i.e. alongside a 'continuation_token'); otherwise they are ordinary action parameters and belong here.
page_sizeNo
filter_keysNo
continuation_tokenNoFrom a probe response. Send at the TOP LEVEL, not inside 'params'.

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does reveal that the tool returns 'files changed' organized by version and supports semantic search, indicating an informational, read-only purpose rather than an actual installation action. However, it does not explain pagination, continuation tokens, or whether any side effects exist, leaving behavioral gaps.

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 dense sentence with no filler. It front-loads the core purpose, then lists actions, output format, and search capability. It loses a point for trying to cram multiple concepts (actions, output organization, semantic search) into one sentence without structural separation.

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?

This tool has 7 parameters, nested objects, a continuation-token mechanism, and no output schema, so the description must explain how to drive the tool correctly. It does not describe mode behaviors, continuation calls, or the relationship between top-level and nested parameters. The undocumented 'query' requirement further decreases completeness.

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

Parameters2/5

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

Schema coverage is only 43%, so the description needed to compensate. It names the four actions and their outputs, but it introduces a 'query' parameter that does not appear anywhere in the input schema, which is confusing. It also does not clarify the meaning of mode, page, page_size, filter_keys, or continuation_token beyond what the schema already states.

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 identifies the tool as providing installation guides for specific integrations (nautobot, netbox, paperless, edx) and explains what each action returns. It is distinct from the sibling tools like docs or troubleshooting because it is explicitly installation-focused, though it lacks an explicit verb like 'retrieve' or 'install'.

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 this is the tool to use for installation guidance for the listed integrations, and it mentions semantic search within the section. However, it does not explicitly state when to prefer this over docs, demo, or troubleshooting, nor does it describe the available modes or how pagination/filtering should be used.

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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TDQS

B3.2/5.0
Disambiguation4/5

The four top-level tools are clearly separated by intent: try the product (demo), read reference material (docs), set up integrations (install), and resolve problems (troubleshooting). Minor overlap exists because docs has a 'demo' sub-action and install/troubleshooting share the same integration names, but descriptions generally make the boundary clear.

Naming Consistency3/5

Tool names are short, lowercase, and self-descriptive, making them easy to scan, but they mix verb and noun/gerund forms (install vs docs/troubleshooting). Nested actions also follow different conventions (getting_started vs nautobot), so there is no strong predictible pattern.

Tool Count5/5

Four tools is well-scoped for a guide-oriented server. Each tool earns its place in the adoption and support lifecycle, and each contains useful sub-actions, so the count feels appropriate without being bloated.

Completeness4/5

The set covers the core journey: discover docs, try the demo, install an integration, and troubleshoot problems. The main gaps are that install/troubleshooting are scoped to four listed integrations and there is no explicit upgrade/uninstall surface, though docs may cover those indirectly.