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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds useful behavior beyond that: it is a semantic match over free-text need, and it returns a ranked 'closest-matching' set plus per-service inclusions, turnaround, page URL, and quote link. It does not say how many results come back or what happens when nothing matches, which keeps it below the top score.

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, front-loaded with what is returned before the usage trigger. The parenthetical example is compact and pays for itself by clarifying input shape. No filler or repeated 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?

For a single-parameter read tool with no output schema, the description carries the necessary weight: it explains the matching behavior, the fields returned, and when to invoke it. Nothing an agent needs to call this correctly appears to be missing.

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% for the single 'need' parameter, so the baseline is 3. The description earns an extra point by illustrating the expected input style with a concrete example ('turn my podcast into weekly Reels'), which tells the agent the parameter accepts natural-language project descriptions rather than keywords or IDs.

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?

The description gives a specific verb and resource ('returns the closest-matching Mark Studios editing services') and enumerates what comes back: inclusions, turnaround, service page, and instant-quote link. That is far more concrete than a restated title. It does not explicitly separate itself from siblings like start_video_project or get_editing_turnaround, so an agent must infer the discovery-vs-action boundary.

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 final sentence states a clear trigger condition: 'Use when the user asks who could edit a video or how to get one edited.' It gives positive usage context but names no exclusions or alternative tools, leaving the agent to infer that this is discovery rather than project initiation.

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