it_ops_live_github

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

No annotations are provided, so the description carries the full burden. It mentions 'passthrough' which implies a proxy or relay of data, but does not disclose whether the tool is read-only, what side effects occur (e.g., caching), authentication requirements, or rate limits. The behavioral impact is unclear.

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 a single sentence of 8 words, which is concise and front-loaded. However, the brevity sacrifices clarity and completeness. It earns its place by being succinct, but could be improved with more informative structure.

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?

Despite having an output schema (not shown), the description does not hint at what the tool returns. For a tool with no input parameters, the return data is the primary value. The description omits any mention of what 'Live GitHub data' entails, making it incomplete for an agent to understand the tool's full capability.

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 has no parameters, so schema description coverage is 100% trivially. The description adds minimal meaning by specifying the tool is for the IT-Ops workspace, but does not explain any parameter details (there are none). Baseline 3 is appropriate as schema covers everything.

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 'Live GitHub data passthrough for the IT-Ops workspace.' It indicates it provides real-time GitHub data but does not specify what type of data (e.g., issues, PRs, commits). The term 'passthrough' is vague and does not clearly convey the tool's action. It distinguishes itself by targeting the IT-Ops workspace, but the purpose remains ambiguous.

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 the many other GitHub-related tools (e.g., github_list_issues, github_get_pull_request). There is no mention of alternative tools or when the tool is appropriate. The context signal of having many sibling GitHub tools suggests a need for differentiation, which is absent.

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