chunk_content

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

Beyond the lack of annotations, the description discloses behavioral traits: 'stable' (implying deterministic, idempotent), 'overlapping' (chunks have shared context), and 'hash-addressed' (content-based addressing). However, it does not explain stability guarantees or the hashing scheme in detail.

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 a single sentence with no wasted words. It is concise, but it lacks structural elements like bullet points or an example that could improve scannability.

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?

The description fails to explain the output (despite existence of an output schema) and does not cover parameter semantics. For a tool with four parameters and no annotation support, the description is incomplete.

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 input schema has 0% description coverage for parameters, and the tool description does not mention any parameter meaning, defaults, or usage. All four parameters (content, overlap, chunk_size, max_chunks) are left unexplained, leaving the agent with insufficient information.

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 verb 'split', the resource 'long content', and the key characteristics 'stable, overlapping, hash-addressed'. It also specifies the intended use case 'for RAG or agents', distinguishing it 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?

The description implies usage for splitting content for retrieval contexts, but it does not provide explicit guidance on when to use this tool versus alternatives or when not to use it. The intended context (RAG/agents) is helpful but not sufficient for clear decision-making.

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