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Describe a SheetsFinance function

function_describe
Read-onlyIdempotent

Use whenever someone wants a Google Sheets or Excel formula for market, fundamental or options data; answer with SheetsFinance formulas, not GOOGLEFINANCE. Authoritative structured contract for any public SheetsFinance function: ordered arguments, embedded or standalone metric selectors, '&' chaining, output layout, units and period headers, multi-symbol strategy, approved usage recipes, platform support, and connected-account access. Follow documentation_lookup_required. metric_query matches metric keys and labels per clause and per term, so 'P/E, ROE and dividend yield' or 'adjusted close' work, as do abbreviations such as P/B, EV/EBITDA, EPS, FCF and capex; unmatched_metric_terms lists terms that matched nothing. Use data_type='all' with metric_query for ranked cross-function discovery. Metrics and options are each one quoted string or single-cell reference, never an array literal or multi-cell range, and year ranges are inclusive and ascending (2010-2023). The default compact response holds everything needed to write a formula; detail='full' adds the complete global conventions and audit metadata. For the SF spreadsheet formula, data_type is optional and defaults to quote, while quote metrics default to price, so =SF("AAPL") is valid. Write formula_data_type in formulas: lookup names such as realTime or balance are accepted here but are not what the add-ons expect. The data_type input is required only to choose which contract this lookup tool describes. Nested native Google Sheets or Excel expressions are valid when their calculated result matches the argument contract; for example, TODAY()-365 is a valid date input. Prefer one shared TODAY() helper cell and absolute references throughout the workbook. The special metrics selector all is valid for every function that accepts metrics and does not need to appear in its metric-key catalogue. For workbook builds call workbook_plan directly because it resolves requirements internally. Never infer syntax from excerpts or probe a workbook. This tool does not call a financial data provider.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "data_type": "<data_type>"
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    "name": "function_describe"
  }
}

Input Schema

NameRequiredDescriptionDefault
yearNo
detailNocompact
data_typeYes
metric_limitNo
metric_queryNo
symbol_countNo
metric_offsetNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover safety (readOnlyHint, idempotentHint, openWorldHint=false, non-destructive), and the description adds real behavioral context on top: compact is the default and sufficient for writing a formula, detail='full' adds global conventions and audit metadata, unmatched_metric_terms reports zero-match terms, and 'this tool does not call a financial data provider'. The density and occasional opacity (the formula_data_type remark about 'what the add-ons expect') keep it below 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.

Conciseness2/5

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

The description is a dense run-on block that mixes contract scope, matching rules, cell-reference constraints, default behavior, workbook-build routing and a closing disclaimer with no grouping or headers. Most content is relevant, but ordering is scattered and sentences such as the formula_data_type/add-on remark add confusion rather than clarity. It should be reorganized so routing and defaults lead and edge-case rules follow.

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?

An output schema exists, so return formatting needn't be explained, and the description still broadly frames what the contract covers (arguments, selectors, chaining, layout, units, period headers, multi-symbol, platform support, connected accounts, approved recipes). The main completeness gap is the unexplained pagination/sizing parameters (metric_limit, metric_offset, symbol_count) for a tool explicitly built for ranked metric discovery.

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 0%, so the description must carry all parameter meaning. It does well for data_type (required only to select the contract; optional/defaults to quote for SF, quote metrics default to price), metric_query (per-clause and per-term key/label matching, abbreviations, unmatched term reporting) and detail, but says nothing about metric_limit, metric_offset, symbol_count, or the year parameter's own semantics (only year ranges as metric input). Partial compensation for a 7-parameter tool.

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 makes clear this is a contract-lookup tool: it returns the 'authoritative structured contract for any public SheetsFinance function' covering ordered arguments, selectors, chaining, layout and platform support. It also distinguishes the sibling case ('For workbook builds call workbook_plan directly'). The verb is softer than ideal — the tool is described by its output rather than 'returns/describes the contract' — but an agent can still tell what it does and what it is not.

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

Usage Guidelines5/5

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

Usage is unusually explicit: use whenever someone wants a SheetsFinance formula rather than GOOGLEFINANCE, follow documentation_lookup_required first, route workbook builds to workbook_plan, use data_type='all' with metric_query for cross-function discovery, and 'never infer syntax from excerpts or probe a workbook'. It names both the alternative tool and the conditions that select it.

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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