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

Since no annotations are provided, the description bears full responsibility for behavioral transparency. It states that the content will be re-transformed with feedback, indicating a write operation. Additionally, it includes a note about a 'write-tier' approval system, detailing that first use may require manager approval and the types of approval (from-now-on vs. just-once). This adds valuable behavioral context beyond the basic action.

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: two short paragraphs. The first front-loads the core purpose and usage triggers, while the second adds essential approval behavior. Every sentence provides useful information, and there is no fluff or redundancy.

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 core action (requesting changes), the feedback mechanism, and the approval tier. However, it does not describe the return value or expected output after calling the tool. Since there is no output schema, the agent might benefit from knowing what the response contains (e.g., confirmation, new version ID). Still, the description is reasonably complete for a straightforward revision request.

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 has full (100%) description coverage, so the schema itself explains the parameters adequately. The description does not add any extra meaning beyond what is in the schema's parameter descriptions. For example, it does not elaborate on the format of 'feedback' or the scope of 'companyId' beyond the schema's text. Baseline score of 3 is appropriate.

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 the tool's purpose: requesting changes to a content item. It provides example use cases like 'revise this' and 'change the tone', effectively communicating what the tool does. However, it does not explicitly differentiate from sibling tools such as 'update_pipeline' or 'submit_content_to_pipeline', which might also involve content modifications.

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 explicitly mentions when to use the tool: when the user says 'revise this', 'change the tone', 'make it shorter', or provides feedback on pending content. This gives clear triggers for invocation. However, it does not provide guidance on when not to use it or suggest alternative tools for similar tasks.

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