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retry_dlq_entry

Re-enqueue a DLQ entry to the main relay stream and delete it from the DLQ. A replay is billed like any relay — it charges the entry's original credit cost to the project before re-sending; if the balance is too low the entry stays in the DLQ and this returns an insufficient-credits error (top up and retry). Succeeds if the entry exists, errors if it's already gone (retried or discarded). Requires edit access.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDead-letter entry id from list_dlq.

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"Redis stream id from list_dlq."New value: +"Dead-letter entry id from list_dlq."
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only provide readOnlyHint=false and destructiveHint=false, leaving the description to carry behavioral detail. It discloses billing behavior (charges original credit cost), failure mode for insufficient balance (entry stays in DLQ, returns error), and error condition when entry is missing (already retried or discarded). It also states the access requirement. This goes well beyond the annotations and gives an agent full expectation of side effects.

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 three sentences, each dense with information: the core action, the billing/error semantics, and the success/error conditions. It is front-loaded with the main purpose and every sentence adds value. No filler or redundancy.

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?

For a single-parameter tool with no output schema, the description covers the action, the billing side effect, both failure modes (insufficient credits and missing entry), and the required permission. An agent has everything needed to decide and call correctly, including how to recover from failure (top up and retry).

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?

The schema already describes the id parameter as 'Dead-letter entry id from list_dlq' with 100% coverage. The description does not add new semantic detail about the parameter itself, only about tool behavior under certain id states. Per the rubric, with high schema coverage the baseline is 3, and the description does not elevate it further.

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 opens with a precise verb+resource statement: 'Re-enqueue a DLQ entry to the main relay stream and delete it from the DLQ.' This clearly distinguishes it from the sibling discard_dlq_entry (which discards without re-enqueueing) and get_dlq_entry (which only reads). The action is specific and unambiguous.

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

Usage Guidelines4/5

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

The description implies when to use it (retrying a DLQ entry) and states a prerequisite ('Requires edit access'). It also notes failure conditions (insufficient credits, entry already gone). However, it does not explicitly name the alternative discard_dlq_entry or say 'use this when you want to retry, discard when you want permanent removal.' The guidance is clear but not explicit about 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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TDQS

A3.6/5.0
Disambiguation3/5

Most tools target distinct resources and the descriptions are unusually explicit, but the billing cluster (change_plan/cancel_subscription and the many add-on actions) plus the preview/diff tools overlap and could cause mis-selection. config_diff, dry_run_endpoint, and preview_line_draft all read as 'preview what will change' at first glance despite different scopes.

Naming Consistency4/5

The overwhelming majority follow a clean snake_case verb_noun pattern: create_*, get_*, list_*, set_*, update_*, delete_*. It is only held back by a few naming outliers such as config_diff and default_endpoint_template, which break the verb-first convention.

Tool Count1/5

78 tools is an extreme mismatch for an MCP server surface, even accounting for the broad management/relay domain. Such a large surface will overwhelm model context and make tool selection materially harder; this would be better split into focused servers for configuration, data-plane operations, and billing.

Completeness4/5

The tool surface is very thorough: projects, lines, endpoints, credentials, keys, configs/drafts, DLQ, requests, metrics, audit, team, and billing are all represented. Only minor gaps exist, such as no direct single-line get/update and the intentional inability to widen the outbound allowlist or lift archive protection via API.

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