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AIWerk

@aiwerk/mcp-server-bexio

by AIWerk

search_languages

Find language records in the Bexio API. Use filtering, pagination, and sorting to get the exact language data you need.

Instructions

Search languages

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesRequest body as defined by the bexio API.
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?

The description adds no behavioral context beyond the annotations. Annotations provide limited info (readOnlyHint=false, openWorldHint=true), but the description does not clarify return format, side effects, or filtering behavior, which is especially important given the misleading readOnlyHint=false for a search tool.

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

Conciseness2/5

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

The description is under-specified, not efficiently concise. 'Search languages' is a minimal phrase that omits essential details, making it insufficient rather than appropriately sized.

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

Completeness1/5

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

The tool has four parameters, no output schema, and vague annotations, yet the description provides virtually no context. It fails to explain the search functionality, body requirements, or relationship to sibling tools, making it completely inadequate for an agent to use 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?

Schema coverage is 100%, so the schema already documents all parameters. The description adds no parameter-specific meaning, but the baseline of 3 applies since the schema handles the heavy lifting.

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 'Search languages' merely restates the tool name, providing no additional scope or differentiation. It fails to distinguish from the sibling 'list_languages' tool, making the specific purpose ambiguous.

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 'list_languages'. The description gives no context about search criteria, body usage, or specific use cases, leaving the agent without direction.

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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