insert_kb

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 mentions 'batch processing' and 'insert data,' implying a write operation, but lacks details on permissions required, whether it's idempotent, error handling, or performance impacts. This is a significant gap for a mutation tool with zero annotation coverage.

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 front-loaded, consisting of two efficient sentences that directly state the tool's function and key features ('batch processing') without any wasted words. Every sentence earns its place by contributing essential information.

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 complexity of a data insertion tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It lacks information on behavioral traits, error handling, return values, and usage context, making it inadequate for safe and effective tool invocation by an AI agent.

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 all 5 parameters thoroughly. The description adds minimal value beyond the schema by implying that 'source_query' is a SELECT query for data sourcing and hinting at batch processing, but it doesn't provide additional syntax, format, or usage context for 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 with specific verbs ('insert data into a knowledge base') and resource ('knowledge base'), distinguishing it from siblings like 'create_kb' (creation) and 'search_kb' (querying). However, it doesn't explicitly differentiate from 'create_job' or 'query' in terms of data manipulation versus job management or querying.

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 explicit guidance is provided on when to use this tool versus alternatives. The description mentions 'from a source query' and 'batch processing,' but it doesn't specify prerequisites, exclusions, or recommend other tools like 'create_kb' for setup or 'search_kb' for retrieval, leaving usage context implied rather than stated.

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