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Glama

AI-Mail

inbox_status

Your email address, plan, expiry, how many more emails it will accept, and how many are unseen.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full disclosure burden. It does tell the agent what information comes back (address, plan, expiry, quota, unseen count), which is useful behavioral content, but it never states that the call is a side-effect-free read or that it takes no arguments.

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?

A single compact sentence with the most decision-relevant content (identity, plan, expiry, quota, unseen) front-loaded and zero filler. It reads as a bare fragment rather than a complete sentence, but no words are wasted.

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?

There is no output schema, so the description must describe the return payload, and it does so by listing the exact fields. With zero parameters and no annotations, that covers the essentials; only the read-only nature and error behavior are left unstated.

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 accepts zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The enumeration of returned fields loosely maps to what the agent gets back but no longer matters at the parameter level.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates exactly what the tool surfaces (email address, plan, expiry, remaining quota, unseen count), so the resource is unmistakable and clearly distinct from the action-oriented siblings like list_emails and read_email. It lacks an explicit verb such as 'retrieve' or 'report', but the returned fields make the purpose inferable without opening the schema.

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

Usage Guidelines2/5

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

There is no statement of when to invoke this versus the sibling tools, nor any prerequisite or exclusion. An agent can infer it is an account-status lookup, but nothing in the text confirms that or routes it against alternatives.

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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