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devlimelabs

Firestore MCP Server

by devlimelabs

firestore-field-value-batch

Execute multiple field value operations in a batch for Firestore documents, including increments, array updates, timestamps, and deletions.

Instructions

Execute multiple field value operations in a batch

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationsYesArray of field value operations to execute
Behavior2/5

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

With no annotations provided, the description carries full burden but only states execution behavior without disclosing critical traits: it doesn't mention atomicity, transaction-like properties, error handling, performance implications, or that it's a write operation (implied by 'execute'). For a batch tool with complex operations, this leaves significant gaps in understanding how it behaves.

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, efficient sentence with no wasted words. It's front-loaded with the core action ('Execute multiple field value operations'), though it could be more structured by explicitly listing operation types. No fluff or redundancy.

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?

For a complex batch tool with no annotations and no output schema, the description is incomplete. It doesn't explain the atomic nature of field value operations, batch limits, error rollback behavior, or return values. Given the rich input schema and sibling tools, more context is needed to guide proper usage and expectations.

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 the 'operations' parameter well-documented in the schema (including operation types and required fields). The description adds no additional parameter semantics beyond 'multiple field value operations,' which is already implied by the schema. Baseline 3 is appropriate since the schema does the heavy lifting.

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

Purpose3/5

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

The description 'Execute multiple field value operations in a batch' states a general purpose (batch execution of field value operations) but is vague about what constitutes 'field value operations' and doesn't differentiate from siblings like firestore-batch-write or firestore-transaction. It mentions 'field value' which hints at atomic operations, but lacks specificity about the types of operations supported.

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 on when to use this tool versus alternatives like firestore-batch-write, firestore-transaction, or individual atomic operation tools (e.g., firestore-increment-field). The description implies batch processing but doesn't specify scenarios, prerequisites, or exclusions, leaving the agent to infer usage from the schema 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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