Production-ready AI agent framework with multi-model support, workflows, teams, and observability
Agentium exposes 5 tools with basic schemas and descriptions. All tools have descriptions (10-200 chars) and input schemas with typed parameters. However, descriptions are minimal and lack LLM-optimization guidance (e.g., 'when to use', 'what it returns'). Parameter descriptions are present but terse. No output schemas documented. Error handling is absent, no recovery guidance, no categorization of retryable vs fatal errors. Tools lack composition clarity: transfer_to_agent and complete are control-flow tools (not domain tools), while artifact tools form a coherent subsystem. No tool annotations (readOnlyHint/destructiveHint) despite clear risk profiles. Naming is clear (verb_noun pattern) but descriptions do not explain prerequisites or dependencies.
Signal that you have fully handled the user's request and no further handoff is needed.
Read the full value of a stored artifact by its pointer (e.g. 'art:abc-123') or by the name supplied to storeArtifact.
List all stored artifacts in the current session with their pointers, names, sizes, and previews.
Store a large value (a string, JSON object, log dump, etc.) outside the conversation and get a short pointer back. Use this when a tool result is too big to keep inline. Subsequent tools can call getArtifact with the returned pointer to read the full value.
Transfer the conversation to a specialist agent. Available agents: ${descriptions}
Descriptions lack LLM-optimization guidance. 'Signal that you have fully handled the user's request' (complete) does not explain WHEN to call it, what happens after, or how it differs from transfer_to_agent. Descriptions should be 50-200 chars and answer: what, when, why.
No output schemas documented. storeArtifact returns a 'pointer' but the schema does not specify its format (e.g., 'art:abc-123'). listArtifacts returns artifacts but structure is undocumented. LLMs cannot plan downstream calls without knowing response fields.
No error handling or recovery guidance. If getArtifact receives an invalid pointer, what error is returned? Can the LLM retry? Should it call listArtifacts first? No guidance.
Inferred effective spec: 2026-07-28+.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 56 | 2026-07-28+ | v2 |
Tool annotations missing. storeArtifact is marked WRITE but has no destructiveHint in schema. getArtifact and listArtifacts are READ_ONLY but lack readOnlyHint. Annotations help LLMs reason about side effects and retry safety.
Parameter descriptions are terse. 'The value to store' (storeArtifact.value) does not explain size limits, encoding, or what happens if the value is too large. 'Either an art:... pointer or the artifact name' (getArtifact.pointerOrName) does not clarify precedence if both exist.