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mongodb-js

MongoDB MCP Server

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by mongodb-js

aggregate-db

Read-only

Run an aggregation pipeline on a MongoDB database, processing documents through stages like $changeStream or $currentOp.

Instructions

Run an aggregation against a MongoDB database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase name
pipelineYesAn array of aggregation stages to execute. The first stage must be a database-level aggregation stage (one of `$changeStream`, `$currentOp`, `$documents`, `$listLocalSessions`, `$queryStats`). https://www.mongodb.com/docs/manual/reference/mql/aggregation-stages/#db.aggregate---stages
responseBytesLimitNoThe maximum number of bytes to return in the response. This value is capped by the server's configured maxBytesPerQuery and cannot be exceeded.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentsYesThe documents returned by the aggregation pipeline
appliedLimitsYesThe limits applied to the aggregation pipeline
aggResultsCountNoThe total number of documents returned by the aggregation pipeline
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description does not add further context on behavior, such as that only database-level aggregation stages are allowed, and it potentially contradicts the readOnlyHint by not specifying that write stages are disallowed.

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, front-loaded sentence that communicates the core purpose without waste. However, it could include more detail without becoming overly verbose.

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 complexity of the pipeline parameter and the presence of a database-level constraint, the description is incomplete. It does not mention that the first stage must be a database-level aggregation stage or explain the return value, even though an output schema exists.

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 already documents parameters meaningfully. The description adds no extra value beyond what is in the schema.

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 the tool runs an aggregation against a MongoDB database, specifying the resource and action. It distinguishes from sibling tools like 'aggregate' which likely target collections.

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 such as 'aggregate' or when not to use it. No context or exclusions are given.

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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