REW Measurement Ingestion

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

No annotations are provided, so the description carries the full behavioral burden. It implies a write/persist operation ('store') but never says whether a re-ingest of the same file replaces, duplicates, or errors, what happens when the text is malformed or an unsupported export subtype, or whether data persists across sessions. The one useful disclosure is the accepted input format family.

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 short sentences, front-loaded with the action and immediately followed by the accepted format. Nothing is padded or redundant; it is simply too sparse to be maximally useful rather than too verbose.

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 mutation-style ingestion tool with a nested required metadata object, zero annotation coverage, no output schema, and 0% parameter documentation, the description is under-specified. An agent knows the format family but not the required metadata semantics, failure behavior, or what the successful ingest returns.

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% across two parameters, one of which is a nested metadata object with a constrained speaker_id enum, a regex-validated condition, and an optional mic_position_id. The description mentions no parameter at all, so nothing compensates for the undocumented metadata structure or explains what the free-form file_contents string must contain.

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 states a specific verb pair ('parse and store') and a specific resource ('a REW measurement export'), and it narrows the accepted input to frequency-response or impulse-response text exports. It is clear on its own, but it does not distinguish itself from overlapping siblings such as rew_api_import, rew_api_get_measurement, or rew_api_list_measurements, so an agent must infer the boundary.

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 phrase 'for analysis' hints that this is the entry point into the analysis pipeline, but there is no explicit statement of when to use this versus importing via the REW API (rew_api_import) or fetching existing measurements (rew_api_get_measurement). With a large sibling set containing several import/retrieval paths, the lack of any exclusion is a real gap.

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