concat

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 what normalization actually does (scales/pads resolution, fps, audio), which is real behavioral context, but it omits failure behavior, permission/overwrite risk, and what happens when normalization is disabled.

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, zero waste, with the core action front-loaded and the qualifier about normalization immediately after. Nothing is redundant or buried.

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?

There is no output schema and no annotations, and the description says nothing about the returned result, error cases, or the destructive potential of overwriting an existing output. Adequate for a basic call, but incomplete for a mutation tool with a default-on transformation.

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 all four parameters are already documented in the schema. The description's normalization sentence adds a little semantic depth beyond the schema's wording but does not address ordering of `inputs` or the overwrite flag; 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 ("Join several media files into one") and clarifies the normalization step, so the operation is unambiguous. It does not explicitly contrast with siblings like compose or render, but the join semantics are distinct enough to distinguish it from trim/cut.

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 implied by the joining semantics (use when you need one continuous file from multiple inputs), but there is no explicit when-to-use/when-not guidance, no mention of alternatives like compose, and no prerequisites such as compatible codecs or matching stream layouts.

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