optimize_large_media_buffer

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

No annotations, so the description must carry the burden, and it does disclose several behavioral traits (downsampling to agent budget, audio isolation, keyframe extraction, mmap streaming). However it omits whether artifacts are written to disk, whether the source file is modified, and what the call returns — meaningful gaps for an operation this stateful.

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?

A single dense sentence that front-loads the problem being solved and then enumerates capabilities with no filler. Slightly jargon-heavy, but every clause carries information.

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 output schema and no annotations, the description should explain what the agent receives back (downsampled file path? in-memory buffer? keyframe list?) and any side effects. It covers capabilities but not results, leaving a real gap for a tool whose whole point is producing usable output.

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 coverage is 100%, so both parameters are already documented. The description adds only indirect context ('agent budget', '> 50MB') without clarifying target_max_mb units/behavior or what file types are/aren't accepted, 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 problem and a set of concrete operations (downsample video, isolate audio, extract keyframes, mmap streaming) on a specific resource class (oversized media/binary). An agent can tell this is a media-memory-mitigation tool, distinct from the binary-analysis siblings, though it never names a sibling explicitly.

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 '> 50MB' threshold and 'agent memory/context exhaustion' framing imply the triggering condition, but there is no explicit when-to-use/when-not-to-use statement and no alternatives named (e.g., what to do with small files or non-media binaries).

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