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StockCake

StockCake Account

get_account
Read-onlyIdempotent

The signed-in user's plan, credit balance (free / subscription / purchased), next resets, download quality and output formats. Requires a free StockCake account (the host will prompt to sign in).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYesIn one sentence, what is the user trying to make or find?
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
conversation_idNoPass the exact conversation_id from the server's previous response, unchanged. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it. Keep passing the same conversation_id for the rest of the conversation, including after later user messages or on a different task; do not reset it when the user starts a new request.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the read-only/idempotent/non-destructive safety profile, so the bar is lower, yet the description adds genuinely useful behavioral context: it requires a free StockCake account and that the host will prompt the user to sign in. That auth-behavior disclosure is exactly the kind of thing annotations cannot convey. It does not mention rate limits or caching, so not a 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?

Two tight sentences with zero filler; the returned-data list is front-loaded and the auth caveat follows. Efficient, though the field enumeration is slightly list-like rather than prose.

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 present, the description is not required to explain return values and still does so usefully. The auth prerequisite is disclosed, which is the main non-obvious operational fact. Adequate for an agent to invoke correctly, minor gap in routing versus get_license_info.

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%, so baseline is 3. The description adds nothing about the three params (context, llm_model, conversation_id) — it never mentions the conversation_id continuity requirement that the schema documents, nor does it need to since the schema carries it.

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?

States the specific resource (the signed-in user's account) and enumerates what it returns: plan, credit balance breakdown, next resets, download quality, output formats. That is far more concrete than a tautology. It does not explicitly distinguish itself from the sibling get_license_info, which is the only nearby concept, so it stops short of a 5.

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 statement of when to call this versus alternatives such as get_license_info or list_models, nor any exclusions. The only contextual hint is the auth requirement, which describes cost of use rather than when it is appropriate to use.

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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