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AIWerk

@aiwerk/mcp-server-bexio

by AIWerk

list_contact_sectors

Read-onlyIdempotent

Fetch a list of contact sectors from Bexio to organize and categorize your contacts. Use pagination and ordering to retrieve specific subsets of sector data.

Instructions

Fetch a list of contact sectors

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoLimit the number of results (max is 2000)
offsetNoSkip over a number of elements by specifying an offset value for the query
order_byNoDefines the order of the results. Multiple sort parameters can be combined by using a comma separator. `_asc` and `_desc` can be appended to any parameter to either sort ascending (default) or descending.
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so safety is covered. However, the description adds no behavioral context beyond the annotations—no mention of pagination, ordering, or that it returns all sectors. It is essentially a restatement of the tool name without additional insight.

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, front-loaded sentence with no unnecessary words. It is concise and easy to parse, earning a high score 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?

For a simple list tool with good annotations and schema, the description is minimal. Critically, it fails to mention that it returns all contact sectors without filtering, nor does it relate to the sibling 'search_contact_sectors'. This lack of context makes it incomplete for selecting and invoking the tool correctly.

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 three parameters (limit, offset, order_by) with full descriptions, achieving 100% schema coverage. The description adds no parameter information, but the schema already handles this, so the baseline of 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?

The description uses a specific verb ('Fetch') and resource ('contact sectors'), clearly indicating it returns a list. However, it does not differentiate from the sibling tool 'search_contact_sectors', which likely serves a similar but more filtered purpose.

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 like search_contact_sectors. It neither states that this is for unfiltered listing nor excludes search scenarios, leaving the agent to infer usage from the tool 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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