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s-h-u-h-a-r-i

firebase-mcp

auth_read

Fetch a Firebase Auth user by UID, email, or phone number, or list users with pagination.

Instructions

Read from Firebase Authentication.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uidNoFirebase Auth UID
emailNoUser email address
operationYes- get_user: Fetch a user by uid, email, or phoneNumber. Args: uid? OR email? OR phoneNumber? - list_users: List users with pagination. Args: maxResults?(1-1000, default 100), pageToken?
pageTokenNoPage token from a previous list_users response
projectIdYesProject key as defined in firebase-mcp.json
maxResultsNoMaximum number of users to return, 1–1000 (default 100)
phoneNumberNoE.164 phone number, e.g. +15555550100
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. It only states 'Read' which is implicit from the name, and does not elaborate on safety, side effects, permissions, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise (one sentence) but at the cost of completeness. It is not verbose, but it is underspecified given the complexity of the tool.

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?

With 7 parameters, no output schema, and no annotations, the description is inadequate. It should explain that results are read-only, pagination behavior, and that it does not modify data.

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 detailed descriptions for each parameter, including enums and usage notes. The tool description adds no additional semantic value beyond what the schema already provides.

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 'Read from Firebase Authentication' clearly states the verb (read) and resource (Firebase Authentication). It differentiates from siblings like firestore_read which reads from Firestore, though it does not explicitly contrast them.

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, nor on when to choose 'get_user' vs 'list_users'. The description provides no usage context or prerequisites.

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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