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dontsovcmc

io.github.dontsovcmc/tochka-bank

by dontsovcmc

goods_add

Add a new product to your local catalog by specifying name, unit, and price.

Instructions

Add a new good to local catalog.

Args: name: Product name (e.g. "Wi-Fi модем Ватериус") unit: Unit of measurement (шт., компл., усл.ед., etc.) price: Price per unit as string (e.g. "5290.00")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
unitYes
priceYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are present, so the description must cover behavior. It describes adding a good but does not disclose side effects (e.g., duplicate handling, permissions, limits, whether the operation is reversible). This is a significant gap for a mutation 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?

The description is concise, with a clear docstring structure and a bullet-style Args section. Every sentence is necessary and no redundant information is present.

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?

Given the low complexity (3 simple parameters, no enums) and the presence of an output schema (though not shown), the description adequately explains the tool's purpose and parameters. It does not describe return values, but output schema likely covers that.

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?

Schema coverage is 0%, so the description must explain all parameters. It provides context for each: name (example), unit (example list), price (type hint 'as string', example). This adds significant meaning beyond the schema's types and titles.

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 action ('Add a new good') and the resource ('to local catalog'). It uses a specific verb and resource, and naturally distinguishes from siblings like goods_list and goods_remove which handle listing and removal.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, nor any conditions or exclusions. It only describes what it does, leaving the agent to infer usage context from the action alone.

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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