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flow_dashboard

Read-onlyIdempotent

The account-pool control panel: for EVERY Google account, the real credit balance, subscription tier, project count, and health status, plus totals — one call, formatted for reading. Use this to answer "how many accounts, how many credits on each and in total, what projects" — the operator's dashboard.

Returns a `summary` string (human-readable table) plus structured `accounts` and
`totals`. Credit numbers are live (Flow's /v1/credits). Credit REFRESH date is not
exposed by Flow's API, so it's shown as an estimate note, not a hard date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 indicate readOnly/idempotent behavior; the description adds genuinely useful context by disclosing that credit balances are live via Flow's /v1/credits and that the refresh date is only an estimate because the upstream API does not expose a hard date. This is information an agent could not infer from the schema or annotations.

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 front-loaded with the main output, then gives the use case, then the data caveat; each sentence earns its place. There is minor stylistic repetition of the dashboard/control-panel metaphor, but no substantive bloat.

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

Completeness5/5

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

With no parameters and no output schema, the description still tells the agent what will come back (`summary`, `accounts`, `totals`) and enumerates the account-level fields. It also flags the one caveat (estimated refresh date), so nothing needed to call and interpret the result is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there is nothing for the description to add. Per the baseline for no-parameter tools, this is fully adequate.

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 names a concrete verb ('returns') and a clear resource: an account-pool dashboard covering per-account credit balance, tier, project count, health, plus totals. It positions itself as the operator's dashboard scoped to 'EVERY Google account,' which implies differentiation from narrower siblings like check_credits, but it never names an alternative explicitly.

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?

It gives explicit when-to-use guidance: 'Use this to answer "how many accounts, how many credits on each and in total, what projects"' and highlights that it is a single call. It does not state when not to use it or which sibling to prefer instead, so it stops short of full routing guidance.

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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