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Pawangunjkar

DB MCP Server

by Pawangunjkar

mongo_insert

Insert a single MongoDB document into a specified collection by providing database, collection, and JSON document through natural language chat.

Instructions

Insert one MongoDB document.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYes
collectionYes
session_nameNodefault
document_jsonYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Insert' implies a write operation, but the description does not state what happens on duplicate _id, whether an existing connection is required, whether the JSON is validated, or whether the inserted document/ID is returned. Key operational context is missing.

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?

Four words with zero filler; the action and target are front-loaded and every word earns its place. For a tool of this simplicity, this is an optimally concise definition.

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?

Despite having an output schema and relatively simple inputs, the definition lacks essential context: no usage guidance, no behavioral side effects, and no parameter format details. With zero annotations and 0% schema description coverage, the sparse description leaves meaningful gaps an agent must guess around.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

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, but it barely does. It implies document_json holds the document, yet it does not clarify that it must be a valid JSON string, its expected structure, or how session_name interacts with connection state. The meanings of database and collection are left entirely to their property names.

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

Purpose4/5

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

The description states a specific verb ('Insert') and a specific resource ('one MongoDB document'), clearly identifying the operation. It distinguishes from the db_insert sibling by naming MongoDB and from mongo_find/update/delete by the insert verb, though this differentiation is implicit rather than explicit.

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 guidance is given on when to use this tool versus alternatives such as db_insert or mongo_update, and no prerequisites are mentioned (e.g., whether a connection or session must be established first). The agent must infer usage entirely from the tool name and schema.

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