Skip to main content
Glama
AIWerk

mcp-server-smallinvoice

by AIWerk

update_product

Update an existing product's details including name, price, category, and other fields by providing the product ID.

Instructions

Updates specified product

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesproduct ID
numberNoNumber
nameNoName
descriptionNoDescription
notesNoNotes
category_idNoCategory id
including_vatNoIncluding vat
vatNoVat
unit_idNoUnit id
priceNoPrice
price_purchaseNoPrice purchase
default_amountNoDefault amount
custom_fieldsNocustom fields values
Behavior3/5

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

Annotations already indicate read/write nature (readOnlyHint=false). Description adds no further behavioral details (e.g., side effects, permissions, partial update behavior). With annotations present, the description fails to add value beyond them.

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?

Single sentence is very concise and front-loaded. However, it sacrifices informativeness for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 13 parameters, no output schema, and no usage guidance, the description is insufficient. It does not explain optionality, what happens to omitted fields, or return behavior.

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 100%, so the schema provides parameter meanings. Description does not add any extra semantics. Baseline 3 is appropriate.

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?

Description clearly indicates verb 'updates' and resource 'product', distinguishing from sibling tools like create_product, get_product, delete_products. However, it does not specify the scope of updates (e.g., which fields), but it's unambiguous.

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?

No guidance on when to use this tool versus alternative update tools (e.g., update_contact, update_invoice). Does not mention prerequisites or exclude scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIWerk/mcp-server-smallinvoice'

If you have feedback or need assistance with the MCP directory API, please join our Discord server