create_collection

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 tool creates something ('Create a collection'), implying a write operation, but doesn't address permissions, side effects, error handling, or rate limits. The example response format adds some value, but key behavioral traits like whether this is idempotent or what happens on failure are missing.

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 front-loaded with the core purpose, followed by a structured list of parameters and returns. However, it includes verbose examples and repetitive details (e.g., listing all default values in the description when they're already in the schema), making it longer than necessary. Some sentences, like the full example response, could be trimmed for efficiency.

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 complexity (11 parameters, no annotations, no output schema), the description is moderately complete. It covers parameter semantics well but lacks behavioral context (e.g., error cases, performance). The example response helps, but without an output schema, more detail on return values would improve completeness. It's adequate but has gaps for a mutation 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?

Schema description coverage is 0%, so the description must compensate fully. It provides detailed semantics for all 11 parameters, including explanations (e.g., 'endpoint: The cluster endpoint URL. Can be obtained by calling describe_cluster'), default values, options for enums like 'metric_type', and usage notes (e.g., for 'db_name'). This adds significant meaning beyond the bare 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 clearly states the action ('Create a collection') and resource ('in a specified cluster'), with the method 'using Quick Setup' providing additional context. It distinguishes from siblings like 'list_collections' or 'describe_collection' by focusing on creation. However, it doesn't explicitly differentiate from other creation tools like 'create_free_cluster' beyond the resource type.

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 implies usage when needing to create a collection in a cluster, with a note that 'endpoint' can be obtained from 'describe_cluster', suggesting a prerequisite. However, it lacks explicit guidance on when to use this vs. alternatives (e.g., no mention of when to use 'create_free_cluster' first or how this relates to database operations), and doesn't specify exclusions or edge cases.

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