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tomfunk

slack-readonly-mcp

by tomfunk

slack_search_messages

Search messages across your Slack workspace with operators like in:#channel, from:@user, and date filters.

Instructions

Search messages across the workspace (read-only). Requires a user token (SLACK_USER_TOKEN with search:read) — bot tokens cannot search. Supports Slack search operators like in:#channel, from:@user, before:YYYY-MM-DD.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query, e.g. "deploy in:#general from:@someuser before:2026-01-01".
countNoResults per page (default 20).
pageNoPage number (default 1).
Behavior3/5

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

With no annotations, the description carries full burden. It discloses read-only behavior and auth requirements, but does not cover pagination behavior, rate limits, or error conditions. Adds moderate context beyond the schema.

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

Conciseness5/5

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

The description is concise (3 sentences), front-loaded with purpose, and every sentence adds necessary information without waste.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description should explain return values or result behavior. It covers purpose, auth, and query format, but lacks details on response structure (e.g., timestamp, channel) or pagination handling, leaving some ambiguity for an agent.

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

Parameters3/5

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

Schema description coverage is 100%, so baseline is 3. The description adds value by discussing Slack search operators, but the schema already provides examples for query and descriptions for count/page. The additional context is useful but not extensive.

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 messages across the workspace and is read-only. It distinguishes itself from channel-specific siblings like slack_channel_history by the cross-workspace scope, though it does not explicitly name alternatives.

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

Usage Guidelines4/5

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

The description provides clear usage context: requires a user token with search:read scope, explicitly states bot tokens cannot search, and mentions Slack search operators. It does not, however, explicitly guide when to use this over sibling tools.

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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