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Vijayakumar-DevOps

MongoDB MCP Server

collection-schema

Read-only

Describe a MongoDB collection's schema by sampling documents. Provide database and collection names, adjust sample size for inference, and receive field structure details.

Instructions

Describe the schema for a collection

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase name
collectionYesCollection name
sampleSizeNoNumber of documents to sample for schema inference
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
schemaYes
fieldsCountYes
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds no behavioral context beyond that. It does not disclose that schema inference samples documents (via sampleSize) or that response size is limited by responseBytesLimit, nor any other operational traits.

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, compact sentence that is front-loaded with the core action and target. Every word is necessary, with no redundancy or filler.

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

Completeness3/5

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

The tool has an output schema and safe annotations, but the description is minimal. It explains the basic purpose but omits context such as how the schema is inferred (sampling) and the presence of configurable limits, leaving a competent but bare-minimum description.

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?

The input schema provides 100% parameter descriptions, so the baseline is 3. The tool description itself adds no parameter-level detail beyond what the schema already documents, so the schema carries the full burden.

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 uses a specific verb ('Describe') and a clear resource ('schema for a collection'), making the tool's purpose immediately obvious. It distinguishes itself from sibling tools like 'collection-indexes' or 'aggregate' by focusing on schema structure.

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?

There is no guidance on when to use this tool versus alternatives. It does not mention prerequisites, typical use cases, or when a different tool (e.g., 'collection-indexes') would be more appropriate.

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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