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devlimelabs

Firestore MCP Server

by devlimelabs

firestore-batch-read

Read multiple Firestore documents in a single batch operation to reduce network calls and improve performance when retrieving multiple records.

Instructions

Read multiple documents in a single operation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
documentPathsYesArray of document paths to read
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 it's a read operation, implying non-destructive behavior, but lacks details on permissions, rate limits, error handling, or response format. This is inadequate for a tool that likely involves network calls and data retrieval.

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 that directly states the tool's function without unnecessary words. It's front-loaded with the core purpose, making it easy to understand 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 the lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., document data, errors for missing paths), behavioral aspects like atomicity, or how it fits within the Firestore context. This leaves significant gaps for an AI agent to use it effectively.

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 has 100% description coverage, with 'documentPaths' clearly documented as an array of document paths. The description adds no additional parameter semantics beyond what the schema provides, such as path format examples or constraints. This meets the baseline for high schema coverage.

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 ('Read multiple documents') and the operational context ('in a single operation'), which distinguishes it from single-document read tools like 'firestore-get-document'. However, it doesn't explicitly differentiate from other batch operations like 'firestore-batch-write', leaving some ambiguity about sibling distinctions.

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 scenarios like reading multiple documents efficiently, compare it to sequential single reads, or reference sibling tools like 'firestore-get-document' for single documents or 'firestore-batch-write' for writes.

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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