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MarketingBNG

tally-mcp

by MarketingBNG

tally_get_cash_flow

Discover why cash flow data is unsupported and get the alternative approach: retrieve cash and bank ledger transactions to compile the statement yourself.

Instructions

Cash flow statement — NOT AVAILABLE. This tool always fails with TALLY_UNSUPPORTED_OPERATION and returns an explanation.

It is registered rather than omitted so that the limitation is discoverable: calling it tells you why the data cannot be produced and which tools to use instead.

WHY: A cash flow statement requires classifying movements into operating, investing and financing activities. That classification is a judgement about the business, and this server holds no business rules — producing one from an assumed mapping would present an invented classification as fact. TallyPrime own cash flow report also has no retrieval path confirmed against a real install.

INSTEAD: The underlying data IS available. Use tally_get_ledger_transactions on the cash and bank ledgers (find them with tally_search_ledgers for the "Bank Accounts" and "Cash-in-Hand" groups) to get every movement with dates, counterparties and a running balance. You can then classify them yourself and state the basis you used.

Do not call this expecting data. Go straight to the tools named above, and tell the user that this statement has to be assembled rather than fetched.

This server is strictly read-only and cannot create, modify or delete anything in TallyPrime.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toDateNoEnd of the period, ISO YYYY-MM-DD. Must be on or after fromDate.
companyNoCompany name. Optional — when omitted, the currently loaded company in TallyPrime is used. If given and it does not match the loaded company, the call fails with TALLY_COMPANY_NOT_LOADED rather than silently returning another company data.
fromDateNoStart of the period, ISO YYYY-MM-DD. Optional — if both dates are omitted, the current financial year is used and the resolved range is echoed back in the response.
Behavior5/5

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

With no annotations, the description fully discloses the failure mode, reasoning, and server read-only policy. It explains why the function is unavailable and how the limitation is surfaced, going beyond what schema or annotations could convey.

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?

Information is front-loaded with the key 'NOT AVAILABLE' message, then logically structured into WHY and INSTEAD sections. Some extra context (read-only note) is not directly about the tool but is relevant. Slightly long but each section earns its place.

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 stub that always errors, the description fully documents the error, the rationale, alternative approaches, and expected agent behavior. No output schema is needed since there is no successful output.

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 covers 100% of parameter descriptions, so baseline is 3. The description doesn't elaborate on parameters, and since the tool always fails they are effectively moot, but it could have explicitly noted that parameters are ignored. No additional semantic value added.

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 explicitly states the tool always fails with TALLY_UNSUPPORTED_OPERATION and exists only to make the limitation discoverable. It clearly distinguishes from siblings by naming alternatives for obtaining cash flow data.

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?

Provides explicit 'when not to use' instruction ('Do not call this expecting data') and names exact alternative tools (tally_get_ledger_transactions, tally_search_ledgers) with specific guidance on how to use them to assemble the data.

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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