ingest-telemetry

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

With no annotations, the description fully bears the burden of behavioral disclosure. It reveals that the tool is a write operation that updates a volume in real-time and triggers agent re-evaluation, which is moderately helpful. However, it does not mention required permissions, idempotency, reversibility, or concurrency implications, which are important for a telemetry ingestion tool.

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?

Two sentences, each serving a distinct purpose: the first defines the action and source, the second describes the effect. No filler words, information density is high, and the description is front-loaded for quick parsing.

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 covers the input purpose and side effects, but without an output schema, it fails to hint at what the tool returns (e.g., confirmation, updated value). It also lacks operational details like error handling, rate limits, or idempotency, which would be useful for an ingestion tool in a time-sensitive context.

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 four parameters. The description adds context about the tool's purpose (live telemetry, IoT sensors) but does not provide additional meaning beyond what the schema already offers. Baseline score of 3 is appropriate.

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 action ('Ingest live telemetry data'), the source ('from an IoT sensor or external system'), and the specific resource updated ('factory waste stream volume'). It also mentions a side effect ('triggers agent re-evaluation'), which helps distinguish it from sibling tools like ingest-factory-bulk (bulk ingestion) and calculate (no ingestion).

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 live telemetry ingestion but provides no explicit guidance on when to use this tool versus alternatives (e.g., ingest-factory-bulk for bulk data). No 'when not to use' or prerequisite conditions are mentioned, leaving the agent to infer context from the name alone.

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