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get_account
Read-onlyIdempotent

The user's plan and usage as the web app sees it: monthly lead pool used and remaining (team members share the owner's pool), API call quota, automation and tracking limits, and UGC Brands access. Use before large searches or unlocks, or when the user asks about limits. Free.

Input Schema

NameRequiredDescriptionDefault
uidNoOptional Firebase uid. Must match the URL uid unless local fallback is enabled.
bearer_tokenNoOptional Firebase ID token. Hosted clients normally authenticate with an API key header or ?uid= in the URL instead.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety burden is lifted; the description adds genuinely new context — the figures are 'as the web app sees it' and team members share the owner's pool, which affects how an agent should interpret the numbers. It does not cover staleness or failure behaviour for unauthenticated calls, keeping it below 5.

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 payload-bearing content comes first, followed by a short usage directive, which is the right ordering. The trailing one-word fragment 'Free.' is ambiguous and slightly undercuts an otherwise tight three-part structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter read tool with no output schema, the description does the work of describing the return payload field-by-field and adds the pool-sharing rule an agent needs to interpret it. What it lacks is authentication expectations and whether results vary by plan tier in ways that change tool selection.

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 coverage is 100% and both uid and bearer_token are documented in-schema including the local-fallback caveat. The description adds no parameter-level guidance (e.g. when a caller should supply uid versus relying on the URL), so the baseline 3 applies.

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

Purpose5/5

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

Names a specific resource (the account's plan and usage) and enumerates its contents — lead pool used/remaining, API quota, automation and tracking limits, UGC Brands access. That enumeration separates it cleanly from neighbours like get_preferences or get_tracking_dashboard, which are settings- and data-dashboards respectively.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives two concrete triggers: 'before large searches or unlocks' and 'when the user asks about limits', which implicitly routes budget checks ahead of unlock_ugc_database_creators and search-type tools. It stops short of naming a sibling or stating when not to call it, so it is clear context without explicit alternatives.

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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