Skip to main content
Glama
karbassi

slack-mcp

by karbassi

search_modules_people

Search Slack members by name, title, or department. Enter a query to find colleagues matching their profile information.

Instructions

Search people by name, title, or department (undocumented session endpoint).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoNumber of results to return per page.
queryYesSearch query string matching member names, titles, and departments.
cursorNoPagination cursor from a previous response's ``response_metadata.next_cursor``.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description labels the endpoint as an 'undocumented session endpoint', alerting users that it may be unstable or internal, which adds important transparency beyond the schema. Although no annotations are present, this disclosure partly compensates by revealing the tool's nature.

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 a single sentence that immediately conveys the tool's purpose. It is front-loaded and contains no superfluous information, making it highly efficient.

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 that an output schema exists and parameter coverage is complete, the description covers basic functionality. However, it lacks information about authorization, pagination behavior, or potential limitations, which would be valuable for a tool with no annotations.

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?

The input schema already describes all three parameters with 100% coverage. The description reinforces them by listing 'name, title, or department', which matches the query parameter's description but does not add new semantic information beyond what the schema provides.

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 'Search people by name, title, or department'. The tool name 'search_modules_people' paired with this description distinguishes it from sibling search tools like search_modules_channels or search_modules_dms. The verb 'Search' and resource 'people' are specific and unambiguous.

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 does not provide explicit guidance on when to use this tool versus alternatives such as search_modules_channels or search_all. It only describes what it does, leaving the agent to infer based on the tool name and the fields listed. No exclusions or when-not-to-use scenarios are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/karbassi/slack-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server