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Who am I on monday.com

monday_get_me
Read-only

Identify the user and account associated with your API token. Use this first to verify connection and retrieve account slug.

Instructions

Returns the user behind the API token and the account it belongs to. Call this first to prove the connection works and to learn the account slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already signal read-only and open-world behavior. The description adds value by explaining that the tool proves connectivity, maps the token to a user, and reveals the account slug, which are non-obvious behavioral details.

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 two sentences: the first states what the tool returns, the second gives actionable usage guidance. There is zero redundancy and the key information is front-loaded.

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

Completeness4/5

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

With no output schema and no parameters, the description conveys the return focus and intended first-use scenario. It could mention specific returned fields or response format, but the existing detail is sufficient for a simple identity/connectivity check.

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

Parameters4/5

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

The tool has zero parameters and schema coverage is effectively complete, so the description adds no parameter details. This matches the baseline for parameterless tools.

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 the tool returns the user behind the API token and its account, which precisely identifies the tool's purpose. It is distinct from sibling tools that list workspaces, boards, or items, focusing instead on token identity.

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 explicitly advises calling this first to verify the connection and learn the account slug, providing clear usage context. It does not mention alternatives or when not to use it, but the guidance is concrete and situationally specific.

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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