save_research_data

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

The description mentions that saving is for 'future retrieval' and that a topic 'creates separate DB', giving some behavioral context. However, with no annotations, it could disclose more about whether data is additive or overwritten, handling of duplicates, or performance implications.

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 very concise: a clear purpose sentence followed by a labeled args section with minimal but sufficient descriptions. No extraneous content; every word is earned.

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 tool has two parameters, no annotations, and an output schema exists (though not shown), the description covers the core functionality. It could be more complete by describing the return value or behavior on success/failure, but it is adequate for a simple write operation.

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?

Since schema description coverage is 0%, the description adds meaning: content is 'List of text content to save' and topic is 'Topic name for organizing the data (creates separate DB)'. This provides useful context beyond the bare schema, though further details (e.g., content size limits) would improve it.

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 'Save research content to vector database for future retrieval' which combines a specific verb (Save) and resource (research content to vector database). It distinguishes from sibling tools like search_research_data (retrieval) and delete_research_topic (deletion).

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 how to use the tool by providing content and an optional topic, and notes that topic creates a separate database. However, it does not explicitly state when to use this tool versus alternatives like search_research_data or when not to use it.

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