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tejash-bhandari-dev

tally-mcp-server

list_stock_items

Retrieve all stock items from TallyPrime, including closing quantity, rate, and value, to support inventory analysis.

Instructions

Returns all inventory stock items from TallyPrime with closing quantity, rate, and value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full transparency burden. It clearly indicates a read-only operation ('Returns') and specifies the return fields. It does not mention potential caveats like pagination, latency, or failure modes, but for a zero-parameter list tool with a straightforward purpose, the disclosure is adequate.

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?

The description is a single sentence that is front-loaded with the action and resource. It contains no redundant words and earns its place by naming the specific data fields returned. This is a model of conciseness.

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 simple, zero-parameter list tool with no output schema, the description is sufficiently complete. It tells the user exactly what the tool returns and from where. The absence of an output schema is compensated by explicitly naming the return fields. No additional context is needed.

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 zero parameters, so per the rubric the baseline is 4. The description does not need to add parameter semantics because there are none. It correctly focuses on the output instead.

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 uses a specific verb ('Returns') and clearly identifies the resource ('inventory stock items from TallyPrime') along with the fields returned (closing quantity, rate, value). It clearly distinguishes from sibling tools like list_ledgers or list_companies by naming a distinct resource type.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or alternative tools. However, the resource type is clear enough that the usage context is implied: use when needing stock items. No explicit when-to-use guidance is provided, so it does not reach level 4.

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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