Analyze voice quality (VoiceLab)

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

No annotations are provided, so the description carries the full burden. It usefully discloses the metric set and the acceptance-gate framing plus how audio is sourced (public URL vs local path with size-based handling). It omits permissions, rate limits, failure behavior, and output shape, leaving real gaps for a no-annotation 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 tightly packed sentences, front-loaded with the metric list and the gating purpose, with the source note last. Efficient with no filler, though the metric enumeration is dense enough that it borders on a spec dump.

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?

With no annotations and no output schema, the description does the necessary work by enumerating the returned metrics and the gate semantics, which serves as an implicit output description. It lacks detail on thresholds, scoring, or error cases, but is largely sufficient for a two-parameter analysis tool.

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 both parameters are already fully documented in the schema including the 'exactly one of url or path' rule. The description restates the source options without adding syntax or format detail beyond the schema, so baseline 3 applies.

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?

States a specific verb and resource (speech-quality QA for a voice recording) and enumerates the exact metrics computed, which distinguishes it clearly from siblings like analyze_loudness and get_spectrum. An agent can tell what this tool returns without opening any schema.

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 'Gates a voice take' implies the context of use (a pass/fail QA gate for a voice recording), giving implied guidance. However, it names no alternative and gives no explicit when-not or sibling-routing guidance, so an agent must infer the boundary against analyze_loudness or check_target.

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