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Get Pulse Verity Account Status

get_account_status
Read-onlyIdempotent

Read this connection's Pulse Verity plan and usage from /api/index/v1/account: plan, used (calls counted this UTC month), limit, remaining, resetAt, perMinute, batchMaxSymbols, capacityAction and upgradeUrl (the plans page). The monthly allowance is account-wide: every key and connected app on the account shares it. perMinute applies to each key. This call does not count toward the allowance.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
planNoThe plan name customers see, e.g. Developer
usedNoCalls counted this UTC month, account-wide
errorNo
limitNoThe monthly allowance
resetAtNo
successNo
perMinuteNo
remainingNo
requestIdYesIdentifier for this MCP call; not a signed price field.
upgradeUrlNo
capacityActionNo
batchMaxSymbolsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well beyond the safety annotations by disclosing quota accounting semantics the annotations cannot express: the monthly allowance is account-wide across every key and app, perMinute is per-key, and the call itself does not consume allowance. That is exactly the kind of operational context an agent needs for budgeting API calls.

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?

Front-loaded with the verb and endpoint, then three tight sentences of quota context. The one inefficiency is enumerating return fields ('plan, used, limit, remaining, resetAt...') when an output schema already exists, which is somewhat redundant ink for its purposes.

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?

With an output schema carrying return values and annotations covering the safety profile, the description fills the remaining gap: shared-vs-per-key quota semantics and the self-exempt accounting rule. Nothing an agent needs to call it correctly is missing, though it could say which sibling to use for plan changes.

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 takes zero parameters, so the baseline is 4 per the rubric. The description correctly refrains from inventing parameter semantics and instead spends its words on the response shape and quota behavior.

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?

Specific verb+resource: reads this connection's Pulse Verity plan and usage, with the exact endpoint path and the returned field set. It is clearly distinct from price/history/batch siblings, though it never explicitly differentiates itself from the adjacent get_upgrade_options, which the mention of 'upgradeUrl (the plans page)' brushes against.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: an agent can infer this is the tool for checking quota before heavy calls, but there is no explicit 'use this when...' line and no pointer to get_upgrade_options for actually changing plans. Context is discernible but left to inference.

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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