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sprkly-mcp

Get account summary

sprkly_get_account_summary
Read-only

Plan tier, trial state, connected account count, accountLimit (how many accounts the plan allows, extra accounts included), monthlyPosts (posts used this month against the monthly cap, null when there is no cap), dailyPosts (only on a plan with a daily cap, by UTC day), scheduled post counts by status, and the next three upcoming posts. Never returns tokens or secrets.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "sprkly_get_account_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description does add genuinely useful semantics beyond that: monthlyPosts is null when uncapped, dailyPosts appears only on daily-cap plans and is bucketed by UTC day, and the tool never returns tokens or secrets. It still says nothing about error or unauthorized states.

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?

It is a single dense sentence with zero filler, and the most decision-relevant facts (plan tier, account limit, posting caps) are front-loaded. The parenthetical asides make it long-breathing but every clause carries information, and the security assurance lands last as a useful closer.

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 zero-argument read tool with no output schema and annotations covering safety, the description does most of the necessary work by naming each returned field and its edge-case semantics. Remaining gaps are the exact structure of 'scheduled post counts by status' and the 'next three upcoming posts' objects, which the agent would have to discover at call time.

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 tool takes zero parameters, which sets the baseline at 4, but the description spends none of its text on invocation semantics and instead reads as a return-value inventory. Since there is no output schema, that inventory is doing double duty and still leaves the shape of nested items unspecified.

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 enumerates exactly what the summary contains: plan tier, trial state, connected account count, accountLimit, monthlyPosts, dailyPosts, and scheduled post counts by status. That is concrete and distinguishable from most siblings, though it never names overlapping tools like sprkly_get_billing_summary or sprkly_get_automation_usage, which also touch plan/quota data.

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?

There is no explicit when-to-use statement, no prerequisites, and no routing to alternatives despite 34 sibling tools. The closest thing to guidance is the field list implying 'use this to check plan limits and post consumption', which the agent must infer on its own.

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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