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mongodb-js

MongoDB MCP Server

Official
by mongodb-js

db-stats

Read-only

Retrieve database usage statistics to assess the current state, activity, and performance of a specific database.

Instructions

Returns statistics that reflect the use state of a single database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase name
connectionIdYesThe connection to run the operation against. Use the id returned by one of the connect tools, or "preconfigured" to use the connection string the server was configured with.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statsYes
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, covering the safety profile. The description adds the 'single database' scope and 'use state' semantics, but does not disclose details about return format or performance implications, providing minimal additional behavioral context.

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, concise sentence that gets directly to the point. Every word earns its place, with no redundancy or irrelevant details.

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

Completeness4/5

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

The tool is simple with two well-documented parameters, rich annotations, and an output schema. The description covers the core purpose, and the output schema handles return value specifics. The only minor gap is the vague term 'use state', but overall the context is sufficient.

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 both parameters (database and connectionId) fully described in the schema. The description adds no parameter-specific information beyond the schema, so a baseline score of 3 is appropriate.

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

Purpose5/5

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

The description clearly states it 'Returns statistics that reflect the use state of a single database', providing a specific verb and resource scope. This distinguishes it from sibling tools like list-databases or collection-storage-size, which operate at different levels.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, exclusion criteria, or compare with sibling operations, leaving the agent to infer usage from context.

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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