index_documents

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes the action ('reads documents' and 'indexes them'), source ('data/docs.json'), and purpose ('initialize or update the knowledge base'), but lacks details on potential side effects (e.g., overwriting existing data), error handling, or performance characteristics. This is adequate but has gaps for a tool with no 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 highly concise and well-structured: two sentences that directly state the tool's function and usage without any redundant or unnecessary information. It is front-loaded with the core action, making it easy to understand quickly.

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's complexity (0 parameters, no annotations, but with an output schema), the description is reasonably complete. It explains what the tool does and when to use it. Since an output schema exists, the description doesn't need to detail return values. However, it could benefit from more behavioral context (e.g., idempotency, error cases) to be fully comprehensive.

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 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics beyond what the schema provides. A baseline score of 4 is appropriate as it doesn't introduce confusion or omissions regarding parameters.

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: 'Reads documents from data/docs.json and indexes them into Elasticsearch.' It specifies the verb ('reads' and 'indexes'), resource ('documents'), and target system ('Elasticsearch'), making it unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'add_text_to_index' or 'ingest_pdfs', which prevents a perfect score.

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 provides clear usage context: 'Call this tool to initialize or update the knowledge base.' This indicates when to use it (for initialization or updates) and implies a broader knowledge base context. However, it doesn't explicitly state when not to use it or name alternatives among the sibling tools, such as 'add_text_to_index' for incremental additions.

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