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AIWerk

mcp-server-smallinvoice

by AIWerk

list_services

Read-only

List all services in your account with support for search, filters, and pagination to retrieve exactly the records you need.

Instructions

Returns list of services

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
withNoComma separated, optional keys that should be included in the response.
qNoValue for full text search
filterNoFilter expression (JSON)
limitNoLimits the number of items returned. Number in a range [1-200]
offsetNoOffset of the first item to return. The offset of the initial item is 0.
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, clearly indicating safe read-only behavior. The description adds no further behavioral context beyond what annotations provide, so it is adequate but not enhanced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, front-loaded with the verb and resource. However, it is marginally concise—under-specified rather than efficiently complete. It could include filtering or pagination guidance without significant bloat.

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 the tool has no output schema and numerous sibling list tools, the description is too minimal to differentiate itself. It does not mention return structure, pagination, or filtering behavior beyond what the schema implies, leaving gaps in completeness.

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 covers all 5 parameters with descriptions (100% coverage), so the schema already explains parameter purpose. The description adds no parameter-specific meaning, but the schema suffices, earning a baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Returns list of services' is a near tautology of the tool name, providing no additional specificity about what a service is or how this differs from other list tools (e.g., list_product_categories). It restates the resource without adding new information.

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 given on when to use this tool versus alternatives like get_service or other list endpoints. There are no explicit contexts, prerequisites, or exclusions, leaving the agent to infer usage from the name 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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