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BrianDeacon

azure-utils-mcp

by BrianDeacon

servicebus_requeue_dlq

Requeues dead-lettered messages from an Azure Service Bus queue to the main queue, preserving body, session, correlation, and application properties. Stops when the specified maximum number of messages is reached.

Instructions

Move messages from a queue's dead letter queue back to the main queue.

Each message is re-sent to the main queue preserving body, session_id, correlation_id, and application_properties, then completed (removed) from the dead letter queue. Stops if the running total would exceed max_messages.

connection_string_env_var: name of the environment variable holding the Service Bus connection string. If the variable is set, connection-string auth is used; otherwise DefaultAzureCredential is used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
namespaceYes
queueYes
max_messagesNo
connection_string_env_varNoAZURE_SERVICEBUS_CONNECTION_STRING

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations exist, so the description carries full burden. It explains message preservation (body, session_id, correlation_id, application_properties), the completion (removal) step, the stopping condition based on max_messages, and authentication mechanisms (connection_string_env_var vs DefaultAzureCredential). However, error handling and idempotency are not discussed.

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 (4 sentences) and front-loaded with the main purpose. Every sentence provides necessary information without redundancy.

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 4 parameters, 2 required, no annotations, and an output schema, the description covers behavior (re-queue, preserve fields, stop condition) and auth. Minor gaps include potential side effects (order) and error scenarios.

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 0%, but the description adds meaning for connection_string_env_var (auth fallback) and max_messages (stop threshold). Namespace and queue are not individually explained, but their role is clear from context. Overall adds value beyond schema.

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 action ('Move messages from a queue's dead letter queue back to the main queue') with a specific verb and resource. It distinguishes from sibling tools like purge_dlq and peek_dlq, which have different outcomes.

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 for requeuing dead-letter messages but lacks explicit guidance on when to use this tool versus alternatives like purge_dlq. No when-not-to-use or fallback advice is 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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