ingest_documents

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

With no annotations provided, the description carries the full disclosure burden and does substantial work: it states automatic chunking and storage, auto-detection of the current user when user_id/agent_id are absent, default values, the min/max constraints on chunking, and the performance rationale for infer=False. It omits idempotency/overwrite behavior and failure modes, but for a no-annotation tool this is strong 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 long but every section earns its place: purpose, supported formats, parameter spec, examples, and return value. It is front-loaded with the core purpose and uses a clear label-per-line structure. Some redundancy exists between the parameter list and the examples, but given 10 parameters at 0% schema coverage, the length is justified.

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 10-parameter tool at 0% schema coverage, the description covers formats, all key parameter semantics, defaults, examples, and a brief return summary. An output schema exists, so deep return-value documentation isn't required. Remaining gaps — the undocumented verbose flag, no error conditions, no note on whether re-ingesting the same path overwrites or duplicates — are minor rather than blocking.

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 0%, so the description must fully compensate, and it does: it documents 9 of 10 parameters with defaults, ranges, and conditionals — including min/max constraints on chunk_size and chunk_overlap that the schema itself lacks, and the user_id OR agent_id fallback logic. Only 'verbose' is left undocumented, a minor miss against otherwise exceptional compensation.

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 opens with a specific verb and resource: 'Ingest documents into memory as a knowledge base using LlamaIndex.' This clearly distinguishes it from sibling tools like search_memories, get_memory, and delete_memory, and its document-chunking role is distinct from store_memory. The supported format list reinforces the scope.

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?

Four concrete examples (single file, directory, metadata, custom chunking) plus REQUIRED/OPTIONAL parameter guidance give an agent clear invocation context. However, it never explicitly contrasts with alternatives like store_memory or import_memories, so an agent must infer when document ingestion is the right sibling choice.

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