get_index_status

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

With no annotations, the description carries the behavioral disclosure burden. It conveys a read-only status operation through 'Return', but it does not mention side effects, access requirements, or any potential performance considerations. This is adequate but not especially rich.

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?

A single, tightly worded sentance that front-loads the verb and resource. Every phrase adds meaningful information with no filler 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?

For a parameterless status tool with an output schema available, the description supplies the key return categories (health, counts, roots, dependency versions) and scopes it to Qdrant/DuckDB. The main gaps are the unexplained 'roots' term and lack of differentiation from sibling health tools.

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 tool has zero parameters, so the schema has nothing to document. The description compensates by indicating what kind of information is returned, which is all an agent needs for parameterless invocation.

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 a specific verb ('Return') and concrete subject matter (Qdrant/DuckDB health, counts, roots, dependency versions). This clearly identifies the tool's purpose, though 'roots' is somewhat ambiguous and there is no direct differentiation from sibling tools.

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?

No guidance is provided about when to use this tool versus alternatives such as 'health' or 'get_job_status'. The agent is left to infer the appropriate use case from the tool name and brief description alone.

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