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Liliphant

get_me

Read-onlyIdempotent

Returns who is signed in and every company they can open, with their role in each. This is the first call a client makes after sign-in: almost every other call needs a company id from companies[].id.

Any signed-in person may call it. It also does housekeeping on the way: it makes sure the person's personal company exists and turns any email invitations waiting for them into memberships, so a company someone was just added to shows up here.

The x-company-id header is optional here. currentCompanyId tells you which company the server will use for requests that send this header; with no header, or one naming a company the person is not in, it falls back to their personal company instead of failing.

Other fields: companyLimit is how many companies a person may create (null means no limit) and companiesCreated is how many they have created so far, for a "New company" button. onboardedAt on each company is null until its setup is finished.

Errors: 401 NOT_SIGNED_IN when no token is sent; 401 SESSION_EXPIRED when the token is no longer valid. GET https://meet-analyzer-api.50agents.com/api/v1/ui/me

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior1/5

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

The description states the tool performs housekeeping by ensuring the personal company exists and converting waiting email invitations into memberships, which are write operations. This directly contradicts the readOnlyHint=true annotation, which declares the tool does not modify its environment.

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

Conciseness4/5

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

The core purpose is front-loaded, followed by usage, side effects, header semantics, fields, and errors. It is longer than average but structured, and most sentences add materially useful information.

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?

With no output schema, the description still explains key response fields such as currentCompanyId, companyLimit, companiesCreated, and onboardedAt. It also covers auth errors and the fallback behavior when the optional header is missing or invalid.

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 input schema has zero parameters, so the baseline is 4. The description also explains response fields and optional header behavior, though those are not formal input parameters.

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?

States a specific verb and resource: returns the signed-in person and every company they can open with roles. It also names the tool's role as the first call after sign-in, making it clearly distinguishable from sibling tools.

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

Usage Guidelines5/5

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

Explicitly says this is the first call after sign-in and that almost every other call needs a company id from companies[].id. It also states any signed-in person may call it and explains the optional x-company-id header behavior.

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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