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kettly1260
by kettly1260

test_integration_endpoint

Validate configured integration endpoints, including LLM, embedding, OCR, document parser, structure recognition, and Postgres, to confirm correct setup.

Instructions

Test one configured integration endpoint: llm, embedding, ocr, document_parser, structure_recognition, postgres.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only states 'test one configured integration endpoint' without explaining what testing entails (e.g., sends a request, returns success/failure, modifies state). The lack of behavioral context is a significant gap.

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

Conciseness4/5

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

The description is a single, concise sentence that front-loads the essential information. There is no superfluous text, though it could benefit from slightly more detail without losing conciseness.

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 two parameters, one required, and an output schema (not shown), the description is too sparse. It does not describe the return value, error conditions, or any side effects. A testing tool should provide more context for safe and effective use.

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?

The schema has 0% description coverage, so the description must add meaning for both parameters. It lists possible values for 'kind' (llm, embedding, etc.), which is helpful, but does not explain the 'token' parameter at all (nullable, default null). This leaves ambiguity about its purpose and usage.

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

Purpose5/5

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

The description clearly states the action (test), the resource (configured integration endpoint), and lists the specific endpoint kinds (llm, embedding, etc.). This is specific and distinguishes it from sibling tools, which focus on other operations like backup, cleanup, or search.

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 the tool is used to test integration endpoints, but it does not provide explicit guidance on when to use it versus alternatives, nor does it mention prerequisites or when not to use it. The purpose is clear, but context for decision-making is lacking.

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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