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Who am I, and what next

gtm_whoami
Read-only

Who this key belongs to, and what the workspace may do: org name, plan, subscription status, how many products and plays exist, and the LEAD METER (leads added this calendar month, the plan's cap, and what is left). Start here — the remaining lead allowance is the one number that changes what is worth proposing. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds meaningful context by detailing the exact information returned: org name, plan, subscription status, counts, and lead meter details. It also explicitly restates 'Read-only.' There is no contradiction.

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?

Three dense sentences with no filler: the first defines the tool's output, the second highlights the decision-driving metric, and the third confirms read-only safety. The most important guidance, 'Start here,' is front-loaded and every sentence earns its place.

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

Completeness5/5

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

For a no-parameter, read-only status tool with no output schema, the description is complete: it tells the agent exactly what data will be returned and why the call matters before proposing actions. Nothing needed for correct invocation is missing.

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 100%, so the baseline is 4. There are no parameter semantics to add; the description appropriately focuses on the tool's output rather than inputs.

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 defines the tool as a workspace identity and capability snapshot: 'Who this key belongs to, and what the workspace may do,' then lists specific data points like org name, plan, subscription status, product/play counts, and the lead meter. The 'Start here' phrasing and aggregate nature distinguish it from sibling list/show/action tools.

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 an explicit invocation context: 'Start here — the remaining lead allowance is the one number that changes what is worth proposing.' This tells the agent when to call the tool, though it does not explicitly name alternative sibling tools or when-not-to-use conditions.

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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