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

Annotations only cover safety/idempotency flags (readOnlyHint=false is consistent with the credit spend described). The description adds real behavioral context the annotations lack: the two-step cost/quote flow, that credits are consumed, the 3-minute limit, and that only derived analysis is kept and none of the source footage, sound or words. It stops short of explaining how to retrieve the job result (get_job/wait_job).

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?

Front-loads what the tool does and its output before the operational details. The telegraphic style ('makes nothing', 'spends a few of the account's credits') is dense but every clause carries information; no padding sentences.

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?

Given an async job-based tool with no output schema, the description covers cost behavior, output contents, limits, the rights prerequisite and the upload step. The one gap is guidance on how to obtain the job's result, which is left to sibling tools.

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 baseline is 3. The description goes beyond the schema by explaining that quote is optional and why: omitting it returns only a cost, while a held quote spends credits, which clarifies the intended two-call flow. source and rights_confirmed semantics are largely restated from the schema.

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 (reads), resource (reference video up to 3 minutes in the library) and result (a job that returns a breakdown of hook, structure, shots, pacing and look). The output contents are enumerated, so an agent can distinguish this from siblings like transcribe or make_video without opening a 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?

Gives clear prerequisites and workflow: upload the video at the library URL first, and the quote gating (without a quote it returns the cost and makes nothing; a held quote spends credits). It does not explicitly name alternate tools or state when-not-to-use, so it falls short of the top band.

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