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

With no annotations the description carries the full burden, and it discloses almost no behavior beyond the operation itself: no processing time, async-vs-sync, whether the URL must be publicly reachable, size/length limits, or what comes back (no output schema exists). The one useful hint is the accepted input forms, which is thin for a processing 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 short sentences, front-loaded with the operation and finished with the input forms. No filler, and each sentence carries information the agent needs.

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 4-parameter tool with no annotations and no output schema, the definition leaves real gaps: it does not state that at least one of audio_url/audio_base64 must be supplied (required list is empty and additionalProperties is false), nor how the cleaned audio is returned. Adequate to call, but incomplete for correct invocation and follow-up handling.

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 filename, strength, audio_url, and audio_base64 in detail. The description restates only the URL/base64 inputs and adds nothing about strength semantics or the mutual-exclusivity of the two audio sources, so the 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 ('Remove background noise') and resource (audio) plus the effect ('improve speech clarity'), and names the engine (CleanAudio AI). It is distinguishable from siblings like remove_silence or transcribe, though it never explicitly contrasts itself with them.

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?

Usage is only implied: the agent can infer this is for noisy recordings that need cleanup. There is no explicit when-to-use/when-not, no mention of remove_silence as an alternative, and no prerequisites stated.

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