Skip to main content
Glama

Link Email to Account

link_email

Attach a real email address to the signed-in user's phone-keyed TuLugar account (accounts created via WhatsApp have no usable email). Sends a confirmation link TO that email; the user must open it — the link proves they own the address. Ask for the email, confirm it back to them, then call this. Only works for accounts that do not have a real email yet; if the email belongs to another account, the tool explains the options (never merges silently).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesThe email address the user wants to attach

TDQS

A4.7/5.0
Behavior5/5

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

The description adds significant behavioral context beyond annotations, such as sending a confirmation link, proof of ownership requirement, and lack of silent merging. No contradiction with annotations (readOnlyHint=false, destructiveHint=false) as the description aligns with a non-destructive mutation.

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) with front-loaded main action and no redundant information. Each sentence provides distinct value: action, verification, preconditions, and conflict resolution.

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?

Given the tool's low complexity (1 param, no output schema, clear annotations), the description fully covers the use case: preconditions, user interaction steps, verification, and edge cases. No gaps remain.

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?

Schema coverage is 100% for the single parameter 'email'. The description adds meaning by specifying that the email must be real, user-owned, and for accounts without existing email, which is useful context beyond the schema's generic description.

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 uses specific verbs ('attach', 'sends a confirmation link') and clearly identifies the resource ('real email address to the signed-in user's phone-keyed TuLugar account'). It distinguishes itself from siblings by focusing on email linking for accounts created via WhatsApp, which is unique among the 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 Guidelines4/5

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

The description explicitly states when to use (accounts without a real email) and what to do before calling (ask for email, confirm it back). It also describes behavior when the email belongs to another account, but does not explicitly mention alternatives or when not to use beyond the precondition.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes covering account management, listings, search, financials, etc. However, `fetch` and `get_listing` both retrieve full listing details, creating potential confusion. Also, `search` and `search_listings` overlap but are differentiated by free-text vs. filtered search.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern in snake_case (e.g., `create_listing`, `publish_listing`, `connect_account`). The naming is predictable and clear throughout.

Tool Count3/5

At 39 tools, the server is quite large for a real estate domain. While it covers many aspects, some tools like `fetch` and `get_listing` are redundant. The count feels excessive and could be streamlined to around 25-30 without losing functionality.

Completeness4/5

The tool set covers listing CRUD, various search types, agent/company profiles, financial calculators, inquiries, saved searches, and account management. Minor gaps exist, such as lack of bulk operations or advanced analytics, but core workflows are well-supported.

Resources