it_ops_feedback_to_sdlc

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

The description mentions routing through the domain-agent dispatcher and the JWT/tenant/company scope, which gives some insight into authentication and execution context. However, it does not disclose any side effects, such as what happens after feedback is submitted, whether it modifies state, or what destructive actions it might perform. The destructiveHint annotation is not reflected in the description.

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 concise and well-structured. It has a clear opening statement, a brief routing detail, and then the parameter list. There is no extraneous information, and each sentence serves a purpose.

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 basic execution context and parameter purposes, but it does not describe the expected output or return value, even though an output schema exists. It also omits any information about error conditions, success criteria, or the actual impact of the feedback action. For a simple tool with two parameters, this is acceptable but not fully 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 description explains `message` as a free-text objective and `inputs` as an optional JSON string of structured inputs. This provides basic meaning beyond the bare schema, but it lacks specifics about the expected format of the JSON, what fields are valid, or any examples. It is sufficient for understanding the parameter types but not for constructing a valid call confidently.

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 states it runs the `feedback_to_sdlc` action, which implies sending feedback to the software development lifecycle, but does not explain what the feedback consists of or what side effects it has. It is clear enough to identify the tool's general purpose but lacks specific detail about the action's actual behavior.

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 provides no guidance on when to use this tool versus any of the numerous sibling tools. It does not mention any conditions, prerequisites, or alternatives. An agent would have no basis to decide between this and other tools like `it_ops_live_jira` or `it_ops_live_slack`.

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