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woofdogtw
by woofdogtw

application_create

Create a new IoT application by providing a code, unit ID, and queue host URI. Returns the application ID and a one-time default password for immediate access.

Instructions

Create an application. Returns applicationId and the one-time default password.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ttlNoAMQP message TTL in milliseconds (0 = unlimited).
codeYesApplication code, pattern [A-Za-z0-9][A-Za-z0-9-_]*. Lowercased.
infoNoOther information.
nameNoDisplay name.
lengthNoAMQP max queue length (0 = unlimited).
unitIdYesAssociated unit ID.
hostUriYesApplication queue URI (e.g. amqp://host/vhost).

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose the key effect (creating an application) and the important non-obvious return of a one-time default password. However, it does not mention permissions, idempotency, side effects, or duplicate handling, so the disclosure is adequate but minimal.

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 two short sentences with no filler, front-loaded with the action, and every sentence adds information: what the tool does and what it returns. This is appropriately sized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The schema covers parameter semantics thoroughly and the description states the return values, but there is no output schema, no annotation context, and no guidance on valid usage or constraints beyond the schema. For a creation tool with 7 parameters, the description alone is somewhat thin, though the schema compensates for parameter details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 7 parameters, required fields, and constraints. The tool description adds no parameter-level meaning beyond what the schema provides, which matches the baseline for full schema coverage.

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 starts with a specific verb and resource: 'Create an application.' It also names the unique return values (applicationId and one-time default password), making it clearly distinguishable from sibling tools like application_get, application_update, and application_delete.

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 imperative 'Create an application' implies this tool is used for creating applications, but there is no explicit guidance about when not to use it, prerequisites such as an existing unit, or how it relates to application_update for modifications. Usage is implied, not clearly contextualized.

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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