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Glama

get_desk

Read Agent Help Desk (the law). Same text as GET /.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. The description explicitly states this is a read operation (Read... Same text as GET), which implies read-only behavior and no side effects. However, it does not disclose return format, potential errors, or any other behavioral traits, but the simplicity of the tool (no params) makes this a moderate gap.

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 description is concise, with only two short sentences and no waste. The core purpose is front-loaded ('Read Agent Help Desk'), and the additional note about 'Same text as GET /' is a useful hint. It is appropriately sized for the tool's simplicity.

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?

Given the tool's simplicity (no parameters, no output schema, no annotations), the description is largely complete for an agent to call it correctly. It states what it does and references the equivalent GET endpoint for additional context. The main omission is the exact return structure, but since there is no output schema and the tool is a simple read, this is a minor gap.

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, so the schema is empty and description coverage is 100% by default (no parameters to cover). Per the baseline guidance, 0 params warrant a baseline 4. The description adds no parameter-specific meaning because none exist, but this is appropriate and nothing is missing.

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 clearly states the tool reads the Agent Help Desk, using a specific verb 'Read' and a specific resource. It also provides a useful reference to the equivalent GET / endpoint, which aids understanding. However, it does not explicitly differentiate from siblings, though its purpose is fairly distinct among the sibling names.

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

Usage Guidelines3/5

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

The description implies usage context (reading the help desk law) but does not explicitly state when to use this tool versus alternatives. It lacks guidance on when not to use it or how it differs from related tools like get_ticket or search_tickets. Given the sibling list, some implicit guidance exists, but no explicit when or when-not conditions are provided.

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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TDQS

C2.9/5.0
Disambiguation2/5

Get_tasks is explicitly called the same as search_tickets with status=open, making those two directly redundant. Get_me and get_pulse also overlap around inbox status, and get_arrivals vs get_directory can be confused as both describing people on the Commons.

Naming Consistency5/5

All tools use a consistent snake_case verb_noun pattern: get_arrivals, get_desk, get_directory, get_me, get_pulse, get_tasks, get_ticket, search_tickets. Even with one search_ action, the overall style and grammar are predictable.

Tool Count4/5

Eight tools is a reasonable number for a help-desk-oriented server. The set is slightly over-scoped because get_tasks duplicates search_tickets rather than earning its place, but it is not bloated.

Completeness3/5

The set is strong for reading state: desk law, directory, tickets, arrivals, and mailbox pulses. However, the ticket lifecycle is incomplete: there is no create_ticket, answer_ticket, or close_ticket tool, even though the descriptions repeatedly reference filing, answers, and waiting inbox replies.