discard_dlq_entry
Permanently delete a DLQ entry without retrying. Requires edit access.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Dead-letter entry id from list_dlq. |
Permanently delete a DLQ entry without retrying. Requires edit access.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Dead-letter entry id from list_dlq. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond the annotations indicating destructiveness, the description adds that deletion is permanent (irreversible) and that no retry occurs, plus it notes the required edit access. This provides useful behavioral constraints not fully captured by the annotations alone.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using a single sentence to convey the action, the absence of retry, and the permission requirement. It is well-structured and free of extraneous details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the essential context: the permanent deletion, the no-retry behavior, and the edit access requirement. It does not mention error handling or idempotency, but for a simple delete operation it provides sufficient context. It could be enhanced by explicitly contrasting with retry_dlq_entry, but overall it is reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already includes a full description for the 'id' parameter, stating it is the Dead-letter entry id from list_dlq. The tool description adds no additional meaning about the parameter, so it does not enhance the schema's coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool permanently deletes a DLQ entry without retrying, specifying the exact action and resource. It explicitly distinguishes this from retrying, making the purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool versus alternatives like retry_dlq_entry. While the phrase 'without retrying' implies a contrast, it lacks a clear 'use this when' directive, so the agent must infer the appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.