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task_approve

For clients outside Caddie, as the user's explicit OK or no on what waits in a task (task_status › waiting_for_ok): a draft to send or post, a reply that asks to send, an agent or routine an agent proposed (Make it / Not now), work going somewhere with more access. Only when the user told you to decide this: never OK a send they haven't seen and agreed to. approve: true (send / make it / allow) or false (don't / not now). item: which one, its id from waiting_for_ok (required, so the answer goes on what the user saw; the same item twice is answered once). text: send this instead of the draft (the user's edit). note: a line for the agent. It shows in the chat as the user's OK, via this client.

Input Schema

NameRequiredDescriptionDefault
itemYesits id from task_status › waiting_for_ok
noteNo
taskYes
textNo
agentYes
approveYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does substantial work: approve:true means send/make it/allow, false means don't/not now, text substitutes the user's edit for the draft, note is surfaced to the agent, and the result appears in chat as the user's own OK. It also discloses the idempotency-like property that answering the same item twice only counts once. Missing: permission requirements and failure behavior.

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

Conciseness3/5

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

The content is dense and front-loaded around the approval decision, and nearly every clause carries information. But the structure is a run-on of slash-separated fragments ('Make it / Not now', 'send / make it / allow'), which costs readability without saving much length.

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

Completeness4/5

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

Given no annotations and no output schema, the description supplies the decision semantics, the item-id requirement, the override text, and the visible effect in chat — enough to call it correctly in most cases. The unexplained required agent/task parameters and absent error/permission notes keep it from a 5.

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

Parameters3/5

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

Schema coverage is only 17%, so the description must compensate, and it explains approve, item, text and note meaningfully. However, two required parameters — agent and task — are never explained in either the description or the schema, leaving half the required surface undocumented.

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

Purpose4/5

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

The description states a specific action: recording the user's explicit OK or no for items queued in task_status › waiting_for_ok, and it enumerates the kinds of items (drafts, replies, proposed agents/routines, higher-access work). That is well beyond a tautology. It is slightly muddied by the 'For clients outside Caddie' framing and dense slash-separated phrasing, but an agent can tell this apart from task_reply or task_status.

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

Usage Guidelines4/5

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

It gives a strong exclusion — 'Only when the user told you to decide this: never OK a send they haven't seen and agreed to' — plus concrete scenarios for when approval applies. It does not name the closest alternative (task_reply) or explain how this differs from it, so it falls short of a 5.

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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