ingest_observation

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

Annotations already indicate the tool is not read-only (readOnlyHint=false) and not destructive (destructiveHint=false), so the description adds the context that it parses telemetry into facts. However, it does not disclose whether previous facts are overwritten, any authentication requirements, or error handling. The added value is moderate given the annotation baseline.

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 that starts with the action verb. It contains no filler or redundancy, making it efficient for an agent to parse 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?

For a tool with 4 parameters, 3 required, and no output schema, the description is too minimal. It does not explain what 'observed facts' are, the format of the raw input, the effect of multiple ingests, or error conditions. This leaves significant gaps for an agent to use the tool correctly.

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 only 25% (only the 'raw' parameter has a brief description). The tool description provides no parameter-specific information, leaving 3 of 4 parameters (collector, subject, predicate) without semantic guidance. This is insufficient, especially for a tool with required parameters and an enum.

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 uses a specific verb ('Parse') and resource ('captured host telemetry') and clearly states the output ('observed facts'). It distinguishes from sibling tools like query_facts (query existing facts) and run_action (perform actions), making the ingestion purpose unambiguous.

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 ingesting telemetry but does not explicitly state when to use this tool versus alternatives (e.g., when to use drift_scan or query_facts). No exclusions or prerequisites are given, so the agent must infer usage context from the tool name alone.

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