mcp-ninjaone

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return format (organization ID, name, description, node count) and implies pagination through the schema parameters, but does not detail rate limits, authentication needs, or error handling. It adequately describes the core behavior but misses advanced traits like performance or constraints.

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?

The description is a single, efficient sentence that front-loads the core action ('List all organizations') and includes essential details (resource, returned fields). There is no wasted text, repetition, or unnecessary elaboration, making it highly concise and well-structured for quick understanding.

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 low complexity (a simple list operation), no annotations, and no output schema, the description is reasonably complete. It covers the purpose, resource, and return format, though it could improve by mentioning pagination behavior or error cases. For a basic read tool, it provides sufficient context without being overly detailed.

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?

The schema description coverage is 100%, so the schema already fully documents the two parameters (page_size and after). The description does not add any additional meaning or context beyond what the schema provides, such as default values or usage examples. Baseline 3 is appropriate when the schema handles all parameter documentation.

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 the verb ('List') and resource ('all organizations (clients/customers) in NinjaOne'), specifying the scope as 'all' and distinguishing it from sibling tools like 'get_organization' (singular). It also explicitly mentions the returned fields (ID, name, description, node count), making the purpose specific and well-defined.

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 provides no guidance on when to use this tool versus alternatives, such as 'get_organization' (for a single organization) or 'list_organization_devices' (for devices within an organization). It lacks context about prerequisites, exclusions, or typical use cases, offering only basic functional information without comparative advice.

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