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Switchbooks

Books at a Glance

books_glance
Read-onlyIdempotent

The active company's books at a glance: last month and year to date against the prior period, cash, what waits in To Review, reconciliations and through when, month-end entries, the chart of accounts with what each category holds, what looks off, and the company's "How we keep these books" notes, which everyone on the company sees. Read it first; answer from it when it covers the question.

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": "books_glance"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered. The description adds two useful facts the annotations don't: scope is the active company and the "How we keep these books" notes are visible to everyone on the company. It says nothing about response shape, size, or freshness/staleness of the figures.

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?

A single front-loaded sentence with the core purpose first, then the content inventory, then the usage directive. It is long but every clause names a distinct section an agent would otherwise have to discover by trial. Slightly dense list-of-nouns phrasing keeps it from a 5.

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 output schema, the description carries the burden of explaining return content, and it does so thoroughly by enumerating each section the agent can expect. Combined with the explicit "read it first" workflow rule, an agent has everything needed to call this correctly on the first try.

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 and there is no parameter ambiguity to introduce. Nothing in the description is needed to explain inputs.

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 tool returns: P&L vs prior period, cash, To Review queue, reconciliations, month-end entries, chart of accounts, anomalies, and company bookkeeping notes. That specificity separates it from every manage_* sibling. It lacks a crisp verb ("glance" is a noun-ish framing) and never names an alternative tool, 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 Guidelines4/5

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

"Read it first; answer from it when it covers the question" gives an explicit ordering rule and a fallback condition, which is real guidance rather than implied usage. It never explicitly says which siblings to reach for when the question is not covered, so the alternative routing is 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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