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vvitovec

ABRA Flexi MCP Server

by vvitovec

Search reference values

search_reference_values

Search for compact lookup values such as document types, payment methods, or centers to populate dropdowns and validate entries.

Instructions

Search compact lookup values such as document types, payment methods, or centers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
limitNo
queryNo
offsetNo
companyNo
profileNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'search', which is already inferred from the name. It does not mention that the tool is read-only, requires authentication, or any potential side effects. The pagination or return format is not addressed.

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, making it concise, but it sacrifices necessary detail. It could be expanded to include parameter hints or usage context without becoming overly long.

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 6 parameters, no output schema, and no annotations, the description is insufficient. It does not explain the response format, pagination behavior, or how to effectively filter results, leaving significant gaps for an agent to correctly invoke the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, yet the description only hints at the 'kind' parameter through examples. It does not explain other parameters like `query`, `limit`, `offset`, `company`, or `profile`, leaving the agent to infer their purpose from names alone.

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 searches 'compact lookup values' and gives concrete examples (document types, payment methods, centers). This distinguishes it from sibling tools that search documents, partners, etc., which are full records rather than reference data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for small reference data via the phrase 'compact lookup values', but does not explicitly state when to use this tool versus alternatives like `search_documents` or `search_partners`. No exclusions or when-not-to-use guidance is provided.

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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