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Get recent team feedback

recent_activity
Read-onlyIdempotent

Get the latest feedback across the whole team or one folder's subtree (team names the team), newest first: text and recording comments on every asset you can view, so you can read feedback across many videos in one call. Each item has a type field ("text" or "recording"), author, timestamp, a link that opens the comment, the asset it belongs to (container_id / container_title) and the version it was left on (asset_id = version id, version number). Scope with folder_id to read one client's/project's feedback, narrow the window with since/until, and page with offset = the previous next_offset: next_offset is set while more remain, and a page can hold fewer than limit items. For one asset's feedback (open items by default) use feedback_list; to wait for new feedback, wait_for_feedback; for counts and trends, feedback_stats.

Input Schema

NameRequiredDescriptionDefault
limitNoNumber of comments to return (default 20, max 100)
sinceNoOnly feedback created at/after this ISO timestamp
untilNoOnly feedback created at/before this ISO timestamp
offsetNoItems to skip for pagination (use next_offset from the previous response)
team_idNoTeam to act in: the team.id an earlier result named. Omit for the team selected in the Flask app (which the user can switch at any time).
folder_idNoOnly feedback on assets inside this folder's subtree

Schema Changelog

Changes observed during successful MCP inspections.

No schema history has been recorded yet.

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already cover the safe-read profile (readOnly, non-destructive, idempotent), so the bar is lower; the description nonetheless discloses ordering (newest first), visibility filtering (only assets you can view), and pagination behavior including the caveat that a page can hold fewer than `limit` items and next_offset signals remaining pages. It stops short of auth/rate-limit context, but the pagination disclosure is real added value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose and scope before routing and pagination detail, and every sentence carries information. The single dense paragraph packed with parenthetical asides and the enumerated return fields is slightly heavy to scan, keeping it off a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description compensates by enumerating each returned item's fields (type, author, timestamp, link, container_id/container_title, asset_id as version id), along with pagination, scoping, and sibling routing. An agent can call this correctly and interpret the result without further documentation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% so baseline is 3, but the description adds semantics beyond the schema: team_id resolves a team named by an earlier result versus the app's currently selected team, folder_id scopes to a client/project subtree, offset consumes the previous next_offset, and since/until narrow the window. It also clarifies that asset_id is a version id, which the schema never states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource (get latest feedback) with explicit scope (whole team or one folder's subtree) and ordering (newest first), plus the content type (text and recording comments on assets you can view). This clearly distinguishes it from the asset-scoped feedback_list and the aggregate feedback_stats.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names three alternatives with the exact condition selecting each: feedback_list for one asset's feedback, wait_for_feedback to wait for new feedback, feedback_stats for counts and trends. It also states when to use folder_id (one client's/project's feedback) and the window params, leaving nothing to inference.

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

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