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karbassi

slack-mcp

by karbassi

api_test

Validate and debug your API calling code for Slack integrations.

Instructions

Check API calling code. Helps test your calling code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
fooNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations provided. Description fails to disclose any behavioral traits: whether it makes real calls, side effects, or success/failure conditions. Agent cannot understand what invoking this tool entails.

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?

Extremely concise but under-specified. The single sentence provides no actionable structure; it is too brief to be useful.

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?

Given the lack of annotations, low schema coverage, and presence of an output schema not addressed in description, the tool description is severely incomplete for an AI agent to use effectively.

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

Parameters1/5

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

Schema description coverage is 0%. Parameters 'error' and 'foo' are completely unexplained in the description. The agent has no semantic understanding of what values to provide or their effects.

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 'Check API calling code. Helps test your calling code' is vague. It doesn't specify what exactly is tested (e.g., authentication, parameters, responses) and doesn't differentiate from siblings like auth_test. The name 'api_test' is generic.

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 on when to use this tool versus alternatives. The description implies testing but doesn't specify context, prerequisites, or contrast with similar tools like auth_test or chat_post_message.

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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