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

The description states the tool will 'delete it from the DLQ', which is a destructive action, yet the annotations declare 'destructiveHint': false. This is a direct contradiction between the description and structured metadata, warranting a score of 1 and an annotation contradiction flag. While the description adds rich context about billing and insufficient-credits behavior, the contradiction undermines trust.

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 three sentences long, front-loaded with the primary action, and every sentence adds meaningful information: billing costs, failure behavior, and access requirements. It could be slightly more concise, but it is well-structured and free of fluff.

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?

For a mutating tool with billing side effects and no output schema, the description covers most key aspects: the replay being billed, insufficient-credits handling, success/error semantics, and required edit access. It does not describe the success response format, but this is a minor gap given the tool's simplicity.

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 schema has 100% coverage for the single parameter 'id', which is described as 'Redis stream id from list_dlq'. The description does not add further parameter-level detail, so it provides no extra value beyond the schema. Baseline 3 is appropriate when schema covers parameters adequately.

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 uses the specific verb 'Re-enqueue' and identifies the resource as a 'DLQ entry', clearly stating the main action and the side effect of deletion from the DLQ. This distinguishes it from sibling tools like 'discard_dlq_entry' and 'get_dlq_entry' by explaining the re-queueing behavior and billing implications.

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 context implies use when retrying a DLQ entry, and it mentions success/error conditions ('Succeeds if the entry exists, errors if it's already gone'), but it does not explicitly contrast with alternatives such as 'discard_dlq_entry'. There is no direct 'when to use vs. when not to use' guidance beyond the name and error note.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.