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karbassi

slack-mcp

by karbassi

entity_present_details

Get detailed information about a Slack entity, such as a user or channel, by providing its ID and type.

Instructions

Present details about an entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYes
entity_idYes
entity_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits. There is no indication of side effects, required permissions, error handling, or what happens with invalid entities. The description fails to add value beyond the tool name.

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

Conciseness1/5

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

While the description is short, it is under-specification rather than conciseness. Every sentence should add value; here the single sentence is too generic 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?

With 3 required parameters, no schema descriptions, no annotations, and a minimal description, the tool definition is severely incomplete. The presence of an output schema does not compensate for the lack of input guidance.

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 coverage is 0% meaning no parameter descriptions in the schema. The description does not explain the meaning of 'app_id', 'entity_id', or 'entity_type'. This leaves the agent without necessary context to populate the parameters correctly.

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 'Present details about an entity' is vague. It does not specify what kind of entity (e.g., user, app, conversation) or what 'details' means. It only slightly clarifies that the tool retrieves information, but lacks specificity to distinguish it from other info tools.

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

Usage Guidelines1/5

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. There are many sibling tools for retrieving information (e.g., users_info, conversations_info), but the description offers no differentiation or criteria for selection.

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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