mimir_ingest

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

Annotations already provide destructiveHint: true, indicating mutation. The description adds context about preview mode (dry_run) and connector selection, but does not detail potential side effects like overwriting or merging behavior, which would be useful. Overall, it adds some value beyond annotations.

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 sentences), front-loads the main purpose, and avoids any unnecessary words or repetition.

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?

With annotations and output schema present, the description adequately covers the tool's purpose, invocation patterns, and preview capability. It does not explain the exact behavior of syncing (e.g., upsert vs replace), but that is likely implied by the tool's name and common patterns.

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 100%, so the schema already documents both parameters. The description reiterates the dry_run and connector usage but does not add significant new semantic information beyond what the schema provides.

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 syncs external data connectors (GitHub issues, file watcher) into Mimir, distinguishing it from many sibling tools that are about querying, managing, or modifying Mimir data.

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 explains when to call with no arguments (run all enabled connectors) and when to specify a connector, and mentions dry_run for preview. It does not explicitly discuss when not to use it or alternatives, but the context is sufficient for an AI agent to select it appropriately.

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