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karbassi

slack-mcp

by karbassi

search_messages

Search Slack messages by query with options for sorting, pagination, and detailed results.

Instructions

Search for messages matching a query. Set detailed=True for full response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
countNo
cursorNo
highlightNo
pageNo
sortNo
sort_dirNo
team_idNo
detailedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only hints that the response may be truncated without detailed=True, but fails to mention pagination, sorting, highlighting, or authentication requirements. Minimal behavioral context is provided.

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 very concise (two sentences), but it is under-specified and lacks important context. It earns its sentences but does not convey enough information, making it barely adequate.

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 9 parameters and many sibling search tools, the description is incomplete. It does not explain the search scope, parameter dependencies, or how to paginate/filter. The output schema exists but the description still fails to provide necessary context.

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 coverage is 0%, and the description only adds meaning for the 'detailed' parameter ('Set detailed=True for full response'). The other eight parameters (count, cursor, highlight, etc.) receive no explanation, leaving the agent to infer 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 for messages matching a query, which is a specific verb+resource. However, it does not differentiate from sibling search tools like search_all or search_modules_messages, which could cause confusion for an AI agent.

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. The only usage hint is 'Set detailed=True for full response,' which is a parameter tip, not a usage guideline.

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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