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petekmet

MCP Datastore Server

by petekmet

datastore_insert

Add new entities to Google Cloud Datastore by specifying entity kind and data, with optional namespace and indexing controls.

Instructions

Insert a new entity into Datastore

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesThe kind (type) of the entity
dataYesThe entity data to insert
keyIdNoOptional key ID (if not provided, Datastore will auto-generate)
namespaceNoOptional namespace for the entity
excludeFromIndexesNoOptional array of property names to exclude from indexes
Behavior2/5

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 states this is an insert operation, implying a write/mutation, but doesn't cover critical aspects like permissions required, whether it's idempotent, error handling, or what happens on conflicts. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence with zero waste—it directly states the tool's purpose without fluff. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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 this is a mutation tool with no annotations, no output schema, and complex parameters (including nested objects), the description is incomplete. It doesn't address behavioral traits, return values, or usage context, leaving the agent with insufficient information to invoke it correctly in a real-world scenario.

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 fully documents all 5 parameters. The description adds no parameter-specific information beyond the generic 'entity' reference, not explaining what 'kind' or 'data' represent semantically. Baseline 3 is appropriate since the schema does the heavy lifting, but the description doesn't enhance understanding.

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 clearly states the action ('Insert') and resource ('a new entity into Datastore'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like datastore_upsert or datastore_update, which also modify entities, so it lacks specific sibling distinction.

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. It doesn't mention prerequisites, when-not-to-use scenarios, or comparisons to siblings like datastore_upsert (for insert-or-update) or datastore_update (for existing entities), leaving the agent to infer usage from context alone.

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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