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AIWerk

mcp-server-smallinvoice

by AIWerk

get_offer

Read-only

Retrieve the details of a specific offer by its ID. Optionally include extra data by listing comma-separated keys.

Instructions

Returns data of specified offer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
offer_idYesoffer ID
withNoComma separated, optional keys that should be included in the response.
Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false, so the agent knows it is a safe read operation. The description adds no additional behavioral context beyond what the annotations provide, such as error handling or authorization requirements.

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 only four words, which is appropriately concise for a simple getter tool. It is front-loaded and avoids unnecessary detail, making it easy to parse.

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

Completeness3/5

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

While the tool is simple and annotations cover safety, there is no output schema or mention of return value structure. The description is functional but could be more complete with examples or error scenarios.

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?

The input schema has 100% coverage with descriptions for both parameters. The description does not add any meaning beyond what the schema already provides, so it meets the baseline but does not enhance understanding.

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 clearly states the tool returns data of a specified offer, with a clear verb+resource pairing. However, it lacks specifics about what data is returned, and compared to sibling get_offer_preview, it doesn't differentiate meaningfully beyond the name.

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 is provided on when to use this tool versus alternatives like get_offer_preview or other get_* tools. The description fails to mention any context or prerequisites, leaving the agent without decision support.

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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