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

The description discloses that the tool only proposes items and that the owner adopts them, which is a key behavioral trait beyond the readOnlyHint annotation. It also adds that it creates one Context overview and one System per module. However, terms like 'recipe' and 'batch id' remain unexplained.

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, front-loaded sentence that efficiently conveys the core action. However, the cryptic 'recipe + batch id' sacrifices clarity for brevity.

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 tool with no output schema and only one parameter, the description fails to explain the parameter, the meaning of 'recipe' and 'batch id', or the adoption process. It is too high-level to enable correct invocation without additional context.

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 one parameter (project_id) with 0% description coverage, and the description does not explain it. Instead, it introduces 'recipe' and 'batch id', which do not correspond to any schema parameter, leaving the agent without guidance on how to fill the parameter.

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: a one-command codebase import that proposes a Context overview and one System per real module. It distinguishes itself from sibling propose_* tools by emphasizing batch processing and owner adoption.

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 phrase 'one-command' and 'all at once' implies this is for bulk import scenarios, but there is no explicit guidance on when to use this tool versus manually calling propose_context or propose_system. Alternatives are not named or excluded.

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