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BradMorphsters

tuskledger-mcp

list_stale_accounts

Identify accounts with outdated balances to diagnose incorrect net worth calculations. Stale data is flagged based on account type and freshness thresholds.

Instructions

Return accounts whose data is older than the freshness threshold (a week for synced accounts, a month for manual). Useful when the user asks 'why is my net worth wrong?' — stale balances are usually the cause.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Tool registration definition for 'list_stale_accounts' in the TOOLS list with input schema and description.
    Tool(
        name="list_stale_accounts",
        description=(
            "Return accounts whose data is older than the freshness "
            "threshold (a week for synced accounts, a month for manual). "
            "Useful when the user asks 'why is my net worth wrong?' — "
            "stale balances are usually the cause."
        ),
        inputSchema={"type": "object", "properties": {}, "additionalProperties": False},
    ),
  • Dispatch handler that routes the 'list_stale_accounts' tool name to client.list_stale_accounts().
    if name == "list_stale_accounts":
        return client.list_stale_accounts()
  • Client helper method that makes the HTTP GET request to /api/accounts/stale on the backend.
    def list_stale_accounts(self) -> dict:
        return self._request("GET", "/api/accounts/stale")
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns accounts based on freshness thresholds, which is the key behavioral trait. It implies a read-only operation, which is sufficient for a list tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no wasted words. The purpose is front-loaded, and the use case is given in the second sentence. Highly concise and efficient.

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?

For a parameterless tool with no output schema, the description adequately explains what the tool returns and when to use it. It is complete for the tool's complexity.

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 no parameters and schema coverage is 100%. The description does not need to add parameter info. Baseline 4 is appropriate as the description covers the tool's function without needing to detail parameters.

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?

The description clearly states the tool's purpose: return accounts with stale data. It defines the freshness threshold (a week for synced, a month for manual) and distinguishes from siblings like list_accounts by focusing on stale accounts.

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?

The description provides a specific use case: 'when the user asks why is my net worth wrong?' It implies this is for troubleshooting, not for a general list. However, it doesn't explicitly state when not to use it or mention alternatives, though siblings exist.

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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