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machine-inbox

get_service_info

Read the Machine Inbox service instructions: pricing, payment rails, endpoints, and limits.

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

A3.9/5.0
Behavior3/5

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

With no annotations, the description bears the full burden of behavioral disclosure. The word 'Read' implies a read-only, non-destructive operation, which is appropriate. However, the description does not explicitly state that the tool is side-effect-free, idempotent, or whether it requires authentication. The behavioral traits are minimally conveyed but not exhaustive.

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 a single sentence of 13 words, front-loading the verb and resource. Every word adds value: 'Read' specifies the action, 'Machine Inbox service instructions' names the resource, and the colon introduces the listed content categories. No redundant or unnecessary information is present.

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 simplicity (no parameters, no output schema, no annotations), the description is complete. It tells the agent what the tool does (reads service instructions) and what it returns (pricing, payment rails, endpoints, limits). There is no ambiguity about the tool's purpose or output, making it self-sufficient for a simple info retrieval operation.

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 the schema coverage is trivially 100%. According to the guidelines, baseline is 4 when there are no parameters. The description does not add parameter details because there are none, but it does not need to. The content categories listed in the description serve as implicit output context, not parameter semantics.

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 states the tool reads 'Machine Inbox service instructions' and lists specific content categories (pricing, payment rails, endpoints, limits). The verb 'Read' combined with the resource 'service instructions' makes the purpose unambiguous. It is easily distinguished from sibling tools which handle inbox operations like create, delete, or message retrieval.

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?

The description does not provide any guidance on when to use this tool versus alternatives. It fails to mention that it should be used for obtaining service-level configuration rather than individual inbox or message data. No exclusions, prerequisites, or references to sibling tools are included.

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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