batch_deploy

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

With no annotations provided, the description carries full burden for behavioral disclosure. It explains the deploy action and the batch return, but does not mention potential side effects, permissions, or rate limits. The detail is adequate but not comprehensive for a mutation tool.

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 front-loads the main purpose. It uses a structured docstring format that is easy to parse. One sentence could be trimmed, but overall it is efficient and clear.

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?

Given the presence of 5 parameters and an output schema, the description covers all inputs and the return value. It provides enough context for an agent to use the tool correctly. However, it lacks details on error handling or edge cases, which would push it to a 5.

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?

Schema description coverage is 0%, requiring the description to fully explain parameters. The docstring-style description provides clear semantics for each parameter, including optional fields and expected formats (e.g., list of tracks, dict for rollout_percentages), adding substantial value beyond the bare schema.

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: 'Deploy an app to multiple tracks in a single operation.' It provides concrete use cases (deploying to internal and alpha tracks simultaneously, promoting to multiple testing tracks) and distinguishes from siblings like deploy_app and promote_release.

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 this tool (simultaneous multi-track deployment) and implies that for single-track deployment, other tools like deploy_app are more appropriate. However, it does not explicitly state when not to use it or provide explicit alternative references.

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